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Keeping control of your media in your hands
13 avril 2011, parThe vocabulary used on this site and around MediaSPIP in general, aims to avoid reference to Web 2.0 and the companies that profit from media-sharing.
While using MediaSPIP, you are invited to avoid using words like "Brand", "Cloud" and "Market".
MediaSPIP is designed to facilitate the sharing of creative media online, while allowing authors to retain complete control of their work.
MediaSPIP aims to be accessible to as many people as possible and development is based on expanding the (...) -
Submit bugs and patches
13 avril 2011Unfortunately a software is never perfect.
If you think you have found a bug, report it using our ticket system. Please to help us to fix it by providing the following information : the browser you are using, including the exact version as precise an explanation as possible of the problem if possible, the steps taken resulting in the problem a link to the site / page in question
If you think you have solved the bug, fill in a ticket and attach to it a corrective patch.
You may also (...) -
Creating farms of unique websites
13 avril 2011, parMediaSPIP platforms can be installed as a farm, with a single "core" hosted on a dedicated server and used by multiple websites.
This allows (among other things) : implementation costs to be shared between several different projects / individuals rapid deployment of multiple unique sites creation of groups of like-minded sites, making it possible to browse media in a more controlled and selective environment than the major "open" (...)
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How to Implement Cross-Channel Analytics : A Guide for Marketers
17 avril 2024, par ErinEvery modern marketer knows they have to connect with consumers across several channels. But do you know how well Instagram works alongside organic traffic or your email list ? Are you even tracking the impacts of these channels in one place ?
You need a cross-channel analytics solution if you answered no to either of these questions.
In this article, we’ll explain cross-channel analytics, why your company probably needs it and how to set up a cross-channel analytics solution as quickly and easily as possible.
What is cross-channel analytics ?
Cross-channel analytics is a form of marketing analytics that collects and analyses data from every channel and campaign you use.
The result is a comprehensive view of your customer’s journey and each channel’s role in converting customers.
Cross-channel analytics lets you track every channel you use to convert customers, including :
- Your website
- Social media profiles
- Paid search
- E-commerce
- Retargeting campaigns
Cross-channel analytics solves one of the most significant issues of cross-channel or multi-channel marketing efforts : measurement.
Research shows that only 16% of marketing tech stacks allow for accurate measurement of multi-channel initiatives across channels.
That’s a problem, given the staggering number of touchpoints in a typical buyer’s conversion path. However, it can be fixed using a cross-channel analytics approach that lets you measure the performance of every channel and assign a dollar value to its role in every conversion.
The difference between cross-channel analytics and multi-channel analytics
Cross-channel analytics and multi-channel analytics sound very similar, but there’s one key difference you need to know. Multi-channel analytics measures the performance of several channels, but not necessarily all of them, nor the extent to which they work together to drive conversions. Conversely, cross-channel analytics measures the performance of all your marketing channels and how they work together.
What are the benefits of cross-channel analytics
Cross-channel analytics offers a lot of marketing and business benefits. Here are the ones marketing managers love most.
Get a complete view of the customer journey
Implementing a cross-channel analytics solution is the only way to get a complete view of your customer journey.
Cross-channel marketing analytics lets you see your customer journey in high definition, allowing you to build comprehensive customer profiles using data from multiple sources across every touchpoint.
The result ? You get to understand how every customer behaves at every point of the customer journey, why they convert or leave your funnel, and which channels play the biggest role.
In short, you get to see why customers convert so you can learn how to convert more of them.
Personalise the customer experience
According to a McKinsey study, customers demand personalisation, and brands that excel at it generate 40% more revenue. Deliver the personalisation they desire and reap the benefits with cross-channel analytics.
When you understand the customer journey in detail, it becomes much easier to personalise your website and marketing efforts to their preferences and behaviours.
Identify your most effective marketing channels
Cross-channel marketing helps you understand your marketing efforts to see how every channel impacts conversions.
Take a look at the screenshot from Matomo below. Cross-channel analytics lets you get incredibly granular — we can see the number of conversions of organic search drives and the performance of individual search engines.
This makes it easy to identify your most effective marketing channels and allocate your resources appropriately. It also allows you to ask (and answer) which channels are the most effective.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
Attribute conversions accurately
An attribution model decides how you assign credit for each customer conversion to different touchpoints on the customer journey. Without a cross-channel analytics solution, you’re stuck using a standard attribution model like first or last click.
These models will show you how customers first found your brand or which channel finally convinced them to convert, but it doesn’t help you understand the role all your channels played in the conversion.
Cross-channel analytics solves this attribution problem. Rather than attributing a conversion to the touchpoint that directly led to the sale, cross-channel data gives you the real picture and allows you to use multi-touch attribution to understand which touchpoints generate the most revenue.
How to set up cross-channel analytics
Now that you know what cross-channel analytics is and why you should use it, here’s how to set up your solution.
-
Determine your objectives
Defining your marketing goals will help you build a more relevant and actionable cross-channel analytics solution.
If you want to improve marketing attribution, for example, you can choose a platform with that feature built-in. If you care about personalisation, you could choose a platform with A/B testing capabilities to measure the impact of your personalisation efforts.
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Set relevant KPIs
You’ll want to track relevant KPIs to measure the marketing effectiveness of each channel. Put top-of-the-funnel metrics aside and focus on conversion metrics.
These include :
- Conversion rate
- Average visit duration
- Bounce rate
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Implement tracking and analytics tools
Gathering customer data from every channel and centralising it in a single location is one of the biggest challenges of cross-channel analytics. Still, it’s made easier with the right tracking tool or analytics platform.
The trick is to choose a platform that lets you measure as many of your channels as possible in a single platform. With Matomo, for example, you can track search, paid search, social and email campaigns and your website analytics.
-
Set up a multi-touch attribution model
Now that you have all of your data in one place, you can set up a multi-touch attribution model that lets you understand the extent to which each marketing channel contributes to your overall success.
There are several attribution models to choose from, including :
Each model has benefits and drawbacks, so choosing the right model for your organisation can be tricky. Rather than take a wild guess, evaluate each model against your marketing objectives, sales length cycle and data availability.
For example, if you want to focus on optimising customer acquisition costs, a model that prioritises earlier touchpoints will be better. If you care about conversions, you might try a time decay model.
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Turn data into insights with reports
One of the big benefits of choosing a tool like Matomo, which consolidates data in one place, is that it significantly speeds up and simplifies reporting.
When all the data is stored in one platform, you don’t need to spend hours combing through your social media platforms and copying and pasting analytics data into a spreadsheet. It’s all there and ready for you to run reports.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
-
Take action
There’s no point implementing a cross-channel analytics system if you aren’t going to take action.
But where should you start ?
Optimising your budgets and prioritising marketing spend is a great starting point. Use your cross-channel insights to find your most effective marketing channels (they’re the ones that convert the most customers or have the highest ROI) and allocate more of your budget to them.
You can also optimise the channels that aren’t pulling their weight if social media is letting you down ; for example, experiment with tactics like social commerce that could drive more conversions. Alternatively, you could choose to stop investing entirely in these channels.
Cross-channel analytics best practices
If you already have a cross-channel analytics solution, take things to the next level with the following best practices.
Use a centralised solution to track everything
Centralising your data in one analytics tool can streamline your marketing efforts and help you stay on top of your data. It won’t just save you from tabbing between different browsers or copying and pasting everything into a spreadsheet, but it can also make it easier to create reports.
Think about consumer privacy
If you are looking at a new cross-channel analytics tool, consider how it accounts for data privacy regulations in your area.
You’re going to be collecting a lot of data, so it’s important to respect their privacy wishes.
It’s best to choose a platform like Matomo that complies with the strictest privacy laws (CCPA, GDPR, etc.).
Monitor data in real time
So, you’ve got a holistic view of your marketing efforts by integrating all your channels into a single tool ?
Great, now go further by monitoring the impact of your marketing efforts in real time.
With a web analytics platform like Matomo, you can see who visits your site, what they do, and where they come from through features like the visits log report, which even lets you view individual user sessions. This lets you measure the impact of posting on a particular social channel or launching a new offer.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
Reallocate marketing budgets based on performance
When you track every channel, you can use a multi-touch attribution model like position-based or time-decay to give every channel the credit it deserves. But don’t just credit each channel ; turn your valuable insights into action.
Use cross-channel attribution analytics data to reallocate your marketing budget to the most profitable channels or spend time optimising the channels that aren’t pulling their weight.
Cross-channel analytics platforms to get started with
The marketing analytics market is huge. Mordor Intelligence valued it at $6.31 billion in 2024 and expects it to reach $11.54 billion by 2029. Many of these platforms offer cross-channel analytics, but few can track the impact of multiple marketing channels in one place.
So, rather than force you to trawl through confusing product pages, we’ve shortlisted three of the best cross-channel analytics solutions.
Matomo
Matomo is a web analytics platform that lets you collect and centralise your marketing data while giving you 100% accurate data. That includes search, social, e-commerce, campaign tracking data and comprehensive website analytics.
Better still, you get the necessary tools to turn those insights into action. Custom reporting lets you track and visualise the metrics that matter, while conversion optimisation tools like built-in A/B testing, heatmaps, session recordings and more let you test your theories.
Google Analytics
Google Analytics is the most popular and widely used tool on the market. The level of analysis and customisation you can do with it is impressive for a free tool. That includes tracking just about any event and creating reports from scratch.
Google Analytics provides some cross-channel marketing features and lets you track the impact of various channels, such as social and search, but there are a couple of drawbacks.
Privacy can be a concern because Google Analytics collects data from your customers for its own remarketing purposes.
It also uses data sampling to generate wider insights from a small subset of your data. This lack of accurate data reporting can cause you to generate false insights.
With Google Analytics, you’ll also need to subscribe to additional tools to gain advanced insights into the user experience. So, consider that while this tool is free, you’ll need to pay for heatmaps, session recording and A/B testing tools to optimise effectively.
Improvado
Improvado is an analytics tool for sales and marketing teams that extracts thousands of metrics from hundreds of sources. It centralises data in data warehouses, from which you can create a range of marketing dashboards.
While Improvado does have analytics capabilities, it is primarily an ETL (extraction, transform, load) tool for organisations that want to centralise all their data. That means marketers who aren’t familiar with data transformations may struggle to get their heads around the complexity of the platform.
Make the most of cross-channel analytics with Matomo
Cross-channel analytics is the only way to get a comprehensive view of your customer journey and understand how your channels work together to drive conversions.
Then you’re dealing with so many channels and data ; keeping things as simple as possible is the key to success. That’s why over 1 million websites choose Matomo.
Our all-in-one analytics solution measures traditional web analytics, behavioural analytics, attribution and SEO, so you have 100% accurate data in one place.
Try it free for 21 days. No credit card required.
Try Matomo for Free
21 day free trial. No credit card required.
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What Are Website KPIs (10 KPIs and Best Ways to Track Them)
3 mai 2024, par ErinTrying to improve your website’s performance ?
Have you ever heard the phrase, “What gets measured gets managed ?”
To improve, you need to start crunching your numbers.
The question is, what numbers are you supposed to track ?
If you want to improve your conversions, then you need to track your website KPIs.
In this guide, we’ll break down the top website KPIs you need to be tracking and how you can track them so you can double down on what’s working with your website (and ditch what’s not).
Let’s begin.
What are website KPIs ?
Before we dive into website KPIs, let’s define “KPI.”
A KPI is a key performance indicator.
You can use this measurable metric to track progress toward a specific objective.
A website KPI is a metric to track progress towards a specific website performance objective.
Website KPIs help your business identify strengths and weaknesses on your website, activities you’re doing well (and those you’re struggling with).
Web KPIs can give you and your team a target to reach with simple checkpoints to show you whether you’re on the right track toward your goals.
By tracking website KPIs regularly, you can ensure your organisation performs consistently at a high level.
Whether you’re looking to improve your traffic, leads or revenue, keeping a close eye on your website KPIs can help you reach your goals.
10 Website KPIs to track
If you want to improve your site’s performance, you need to track the right KPIs.
While there are plenty of web analytics solutions on the market today, below we’ll cover KPIs that are automatically tracked in Matomo (and don’t require any configuration).
Here are the top 10 website KPIs you need to track to improve site performance and grow your brand :
1. Pageviews
Website pageviews are one of the most important KPIs to track.
What is it exactly ?
It’s simply the number of times a specific web page has been viewed on your site in a specific time period.
For example, your homepage might have had 327 pageviews last month, and only 252 this month.
This is a drop of 23%.
A drop in pageviews could mean your search engine optimisation or traffic campaigns are weakening. Alternatively, if you see pageviews rise, it could mean your marketing initiatives are performing well.
High or low pageviews could also indicate potential issues on specific pages. For example, your visitors might have trouble finding specific pages if you have poor website structure.
2. Average time on page
Now that you understand pageviews, let’s talk about average time on page.
This is simple : it’s the average amount of time your visitors spend on a particular web page on your site.
This isn’t the average time they spend on your website but on a specific page.
If you’re finding that you’re getting steady traffic to a specific web page, but the average time on the page is low, it may mean the content on the page needs to be updated or optimised.
Tracking your average time on page is important, as the longer someone stays on a page, the better the experience.
This isn’t a hard and fast rule, though. For specific types of content like knowledge base articles, you may want a shorter period of time on page to ensure someone gets their answer quickly.
3. Bounce rate
Bounce rate sounds fun, right ?
Well, it’s not usually a good thing for your website.
A bounce rate is how many users entered your website but “bounced” away without clicking through to another page.
Your bounce rate is a key KPI that helps you determine the quality of your content and the user experience on individual pages.
You could be getting plenty of traffic to your site, but if the majority are bouncing out before heading to new pages, it could mean that your content isn’t engaging enough for your visitors.
Remember, like average time on page, your bounce rate isn’t a black-and-white KPI.
A higher bounce rate may mean your site visitors got exactly what they needed and are pleased.
But, if you have a high bounce rate on a product page or a landing page, that is a sign you need to optimise the page.
4. Exit rate
Bounce rate is the percentage of people who left the website after visiting one page.
Exit rate, on the other hand, is the percentage of website visits that ended on a specific page.
For example, you may find that a blog post you wrote has a 19% exit rate and received 1,000 visits that month. This means out of the 1,000 people who viewed this page, 190 exited after visiting it.
On the other hand, you may find that a second blog post has 1,000 pageviews, but a 10% exit rate, with only 100 people leaving the site after visiting this page.
What could this mean ?
This means the second page did a better job keeping the person on your website longer. This could be because :
- It had more engaging content, keeping the visitors’ interest high
- It had better internal links to other relevant pieces of content
- It had a better call to action, taking someone to another web page
If you’re an e-commerce store and notice that your exit rate is higher on your product, cart or checkout pages, you may need to adjust those pages for better conversions.
5. Average page load time
Want to know another reason you may have a high exit rate or bounce rate on a page ?
Your page load time.
The average page load time is the average time it takes (in seconds) from the moment you click through to a page until it has fully rendered within your browser.
In other words, it’s the time it takes after you click on a page for it to be fully functional.
Your average load time is a crucial website KPI because it significantly impacts page performance and the user experience.
How important is your page load time ?
Nearly 53% of website visitors expect e-commerce pages to load in 3 seconds or less.
You will likely lose visitors if your pages take too long to load.
You could have the best content on a web page, but if it takes too long to load, your visitors will bounce, exit, or simply be frustrated.
6. Conversions
Conversions.
It’s one of the most popular words in digital marketing circles.
But what does it mean ?
A conversion is simply the number of times someone takes a specific action on your website.
For example, it could be wanting someone to :
- Read a blog post
- Click an external link
- Download a PDF guide
- Sign up to your email list
- Comment on your blog post
- Watch a new video you uploaded
- Purchase a limited-edition product
- Sign up for a free trial of your software
To start tracking conversions, you need to first decide what your business goals are for your website.
With Matomo, you can set up conversions easily through the Goals feature. Simply set up your website goals, and Matomo will automatically track the conversions towards that objective (as a goal completion).
Simply choose what conversion you want to track, and you can analyse when conversions occur through the Matomo platform.
7. Conversion rate
Now that you know what a conversion is, it’s time to talk about conversion rate.
This key website KPI will help you analyse your performance towards your goals.
Conversion rate is simply the percentage of visitors who take a desired action, like completing a purchase, signing up for a newsletter, or filling out a form, out of the total number of visitors to your website or landing page.
Understanding this percentage can help you plan your marketing strategy to improve your website and business performance.
For instance, let’s say that 2% of your website visitors purchase a product on your digital storefront.
Knowing this, you could tweak different levers to increase your sales.
If your average order value is $50 and you get 100,000 visits monthly, you make about $100,000.
Let’s say you want to increase your revenue.
One option is to increase your traffic by implementing campaigns to increase different traffic sources, such as social media ads, search ads, organic social traffic, and SEO.
If you can get your traffic to 120,000 visitors monthly, you can increase your revenue to $120,000 — an additional $20,000 monthly for the extra 20,000 visits.
Or, if you wanted to increase revenue, you could ignore traffic growth and simply improve your website with conversion rate optimisation (CRO).
CRO is the practice of making changes to your website or landing page to encourage more visitors to take the desired action.
If you can get your conversion rate up to 2.5%, the calculation looks like this :
100,000 visits x $50 average order value x 2.5% = $125,000/month.
8. Average time spent on forms
If you want more conversions, you need to analyse forms.
Why ?
Form analysis is crucial because it helps you pinpoint where users might be facing obstacles.
By identifying these pain points, you can refine the form’s layout and fields to enhance the user experience, leading to higher conversion rates.
In particular, you should track the average time spent on your forms to understand which ones might be causing frustration or confusion.
The average time a visitor spends on a form is calculated by measuring the duration between their first interaction with a form field (such as when they focus on it) and their final interaction.
Find out how Concrete CMS tripled their leads using Form Analytics.
9. Play rate
One often overlooked website KPI you need to be tracking is play rate.
What is it exactly ?
The percentage of visitors who click “play” on a video or audio media format on a specific web page.
For example, if you have a video on your homepage, and 50 people watched it out of the 1,000 people who visited your website today, you have a play rate of 5%.
Play rate lets you track whenever someone consumes a particular piece of audio or video content on your website, like a video, podcast, or audiobook.
Not all web analytics solutions offer media analytics. However, Matomo lets you track your media like audio and video without the need for configuration, saving you time and upkeep.
10. Actions per visit
Another crucial website KPI is actions per visit.
This is the average number of interactions a visitor has with your website during a single visit.
For example, someone may visit your website, resulting in a variety of actions :
- Downloading content
- Clicking external links
- Visiting a number of pages
- Conducting specific site searches
Actions per visit is a core KPI that indicates how engaging your website and content are.
The higher the actions per visit, the more engaged your visitors typically are, which can help them stay longer and eventually convert to paying customers.
Track your website KPIs with Matomo today
Running a website is no easy task.
There are dozens of factors to consider and manage :
- Copy
- Design
- Performance
- Tech integrations
- And more
But, to improve your website and grow your business, you must also dive into your web analytics by tracking key website KPIs.
Managing these metrics can be challenging, but Matomo simplifies the process by consolidating all your core KPIs into one easy-to-use platform.
As a privacy-friendly and GDPR-compliant web analytics solution, Matomo tracks 20-40% more data than other solutions. So you gain access to 100% accurate, unsampled insights, enabling confident decision-making.
Join over 1 million websites that trust Matomo as their web analytics solution. Try it free for 21 days — no credit card required.
Try Matomo for Free
21 day free trial. No credit card required.
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Streaming client over TCP and RTSP through Wi-Fi or LAN in Android
6 janvier 2015, par GowthamI am struggling to develop streaming client for DVR camera’s, I tried with VLC Media player through RTSP protocol I got the solution (used Wi-Fi standard model like, Netgear etc.,), but the same code is not supporting for other Wi-Fi Modem’s, now am working with FFMPEG framework to implement the streaming client in android using JNI API. Not getting any proper idea to implement JNI api
Network Camera working with IP Cam Viewer App
code below,
/*****************************************************/
/* functional call */
/*****************************************************/
jboolean Java_FFmpeg_allocateBuffer( JNIEnv* env, jobject thiz )
{
// Allocate an AVFrame structure
pFrameRGB=avcodec_alloc_frame();
if(pFrameRGB==NULL)
return 0;
sprintf(debugMsg, "%d %d", screenWidth, screenHeight);
INFO(debugMsg);
// Determine required buffer size and allocate buffer
numBytes=avpicture_get_size(dstFmt, screenWidth, screenHeight);
/*
numBytes=avpicture_get_size(dstFmt, pCodecCtx->width,
pCodecCtx->height);
*/
buffer=(uint8_t *)av_malloc(numBytes * sizeof(uint8_t));
// Assign appropriate parts of buffer to image planes in pFrameRGB
// Note that pFrameRGB is an AVFrame, but AVFrame is a superset
// of AVPicture
avpicture_fill((AVPicture *)pFrameRGB, buffer, dstFmt, screenWidth, screenHeight);
return 1;
}
/* for each decoded frame */
jbyteArray Java_FFmpeg_getNextDecodedFrame( JNIEnv* env, jobject thiz )
{
av_free_packet(&packet);
while(av_read_frame(pFormatCtx, &packet)>=0) {
if(packet.stream_index==videoStream) {
avcodec_decode_video2(pCodecCtx, pFrame, &frameFinished, &packet);
if(frameFinished) {
img_convert_ctx = sws_getContext(pCodecCtx->width, pCodecCtx->height, pCodecCtx->pix_fmt, screenWidth, screenHeight, dstFmt, SWS_BICUBIC, NULL, NULL, NULL);
/*
img_convert_ctx = sws_getContext(pCodecCtx->width, pCodecCtx->height, pCodecCtx->pix_fmt, pCodecCtx->width, pCodecCtx->height, dstFmt, SWS_BICUBIC, NULL, NULL, NULL);
*/
sws_scale(img_convert_ctx, (const uint8_t* const*)pFrame->data, pFrame->linesize,
0, pCodecCtx->height, pFrameRGB->data, pFrameRGB->linesize);
++frameCount;
/* uint8_t == unsigned 8 bits == jboolean */
jbyteArray nativePixels = (*env)->NewByteArray(env, numBytes);
(*env)->SetByteArrayRegion(env, nativePixels, 0, numBytes, buffer);
return nativePixels;
}
}
av_free_packet(&packet);
}
return NULL;
}
/*****************************************************/
/* / functional call */
/*****************************************************/
jstring
Java_FFmpeg_play( JNIEnv* env, jobject thiz, jstring jfilePath )
{
INFO("--- Play");
char* filePath = (char *)(*env)->GetStringUTFChars(env, jfilePath, NULL);
RE(filePath);
/*****************************************************/
AVFormatContext *pFormatCtx;
int i, videoStream;
AVCodecContext *pCodecCtx;
AVCodec *pCodec;
AVFrame *pFrame;
AVPacket packet;
int frameFinished;
float aspect_ratio;
struct SwsContext *img_convert_ctx;
INFO(filePath);
/* FFmpeg */
av_register_all();
if(av_open_input_file(&pFormatCtx, filePath, NULL, 0, NULL)!=0)
RE("failed av_open_input_file ");
if(av_find_stream_info(pFormatCtx)<0)
RE("failed av_find_stream_info");
videoStream=-1;
for(i=0; inb_streams; i++)
if(pFormatCtx->streams[i]->codec->codec_type==AVMEDIA_TYPE_VIDEO) {
videoStream=i;
break;
}
if(videoStream==-1)
RE("failed videostream == -1");
pCodecCtx=pFormatCtx->streams[videoStream]->codec;
pCodec=avcodec_find_decoder(pCodecCtx->codec_id);
if(pCodec==NULL) {
RE("Unsupported codec!");
}
if(avcodec_open(pCodecCtx, pCodec)<0)
RE("failed codec_open");
pFrame=avcodec_alloc_frame();
/* /FFmpeg */
INFO("codec name:");
INFO(pCodec->name);
INFO("Getting into stream decode:");
/* video stream */
i=0;
while(av_read_frame(pFormatCtx, &packet)>=0) {
if(packet.stream_index==videoStream) {
avcodec_decode_video2(pCodecCtx, pFrame, &frameFinished, &packet);
if(frameFinished) {
++i;
INFO("frame finished");
AVPicture pict;
/*
img_convert_ctx = sws_getContext(pCodecCtx->width, pCodecCtx->height,
pCodecCtx->pix_fmt, pCodecCtx->width, pCodecCtx->height,
PIX_FMT_YUV420P, SWS_BICUBIC, NULL, NULL, NULL);
sws_scale(img_convert_ctx, (const uint8_t* const*)pFrame->data, pFrame->linesize,
0, pCodecCtx->height, pict.data, pict.linesize);
*/
}
}
av_free_packet(&packet);
}
/* /video stream */
av_free(pFrame);
avcodec_close(pCodecCtx);
av_close_input_file(pFormatCtx);
RE("end of main");
}I can’t able to get the frames from Network camera
And give some idea to implement the live stream client for DVR camera in Android
Syndiquer tout le site
