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Publier sur MédiaSpip
13 juin 2013Puis-je poster des contenus à partir d’une tablette Ipad ?
Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir -
Librairies et logiciels spécifiques aux médias
10 décembre 2010, parPour un fonctionnement correct et optimal, plusieurs choses sont à prendre en considération.
Il est important, après avoir installé apache2, mysql et php5, d’installer d’autres logiciels nécessaires dont les installations sont décrites dans les liens afférants. Un ensemble de librairies multimedias (x264, libtheora, libvpx) utilisées pour l’encodage et le décodage des vidéos et sons afin de supporter le plus grand nombre de fichiers possibles. Cf. : ce tutoriel ; FFMpeg avec le maximum de décodeurs et (...) -
List of compatible distributions
26 avril 2011, parThe table below is the list of Linux distributions compatible with the automated installation script of MediaSPIP. Distribution nameVersion nameVersion number Debian Squeeze 6.x.x Debian Weezy 7.x.x Debian Jessie 8.x.x Ubuntu The Precise Pangolin 12.04 LTS Ubuntu The Trusty Tahr 14.04
If you want to help us improve this list, you can provide us access to a machine whose distribution is not mentioned above or send the necessary fixes to add (...)
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Decoding pcm_s16le with FFMPEG ?
9 juin, par Davide Caresiai have a problem decoding a wav file using ffmpeg. I'm new to it and i'm not quite used to it.


In my application i have to input the audio file and get an array of samples to work on.
I used ffmpeg to create a function that gets in input the path of the file, the position in time where to start to output the samples and the lenght of the chunk to decode in seconds.


When I try to decode the file harp.wav everything runs fine, and I can plot the samples as in the image plot-harp.png


The file is a WAV file encoded as : pcm_u8, 11025 Hz, 1 channels, u8, 88 kb/s


The problems comes when i try to decode the file demo-unprocessed.wav.
It outputs a series of samples that has no sense. It outputs a serie of samples plotted as the image graph1-demo.jpg shows.


The file is a WAV file encoded as : pcm_s16le, 44100 Hz, 1 channels, s16, 705 kb/s


IDK where the problem in my code is, I already checked the code before and after the decoding with FFMPEG, and it works absolutely fine.


Here is the code for the dataReader.cpp :


/* Start by including the necessary */
#include "dataReader.h"
#include <cstdlib>
#include <iostream>
#include <fstream>

#ifdef __cplusplus
extern "C" {
#endif
 #include <libavcodec></libavcodec>avcodec.h> 
 #include <libavformat></libavformat>avformat.h>
 #include <libavutil></libavutil>avutil.h>
#ifdef __cplusplus 
}
#endif

using namespace std;

/* initialization function for audioChunk */
audioChunk::audioChunk(){
 data=NULL;
 size=0;
 bitrate=0;
}

/* function to get back chunk lenght in seconds */
int audioChunk::getTimeLenght(){
 return size/bitrate;
}

/* initialization function for audioChunk_dNorm */
audioChunk_dNorm::audioChunk_dNorm(){
 data=NULL;
 size=0;
 bitrate=0;
}

/* function to get back chunk lenght in seconds */
int audioChunk_dNorm::getTimeLenght(){
 return size/bitrate;
}

/* function to normalize audioChunk into audioChunk_dNorm */
void audioChunk_dNorm::fillAudioChunk(audioChunk* cnk){

 size=cnk->size;
 bitrate=cnk->bitrate;

 double min=cnk->data[0];
 double max=cnk->data[0];

 for(int i=0;isize;i++){
 if(*(cnk->data+i)>max) max=*(cnk->data+i);
 else if(*(cnk->data+i)data+i);
 }

 data=new double[size];

 for(int i=0;i/data[i]=cnk->data[i]+256*data[i+1];
 if(data[i]!=255) data[i]=2*((cnk->data[i])-(max-min)/2)/(max-min);
 else data[i]=0;
 }
 cout<<"bitrate "<* inizialize audioChunk */
 audioChunk output;

 /* Check input times */
 if((start_time<0)||(lenght<0)) {
 cout<<"Input times should be positive";
 return output;
 }

 /* Start FFmpeg */
 av_register_all();

 /* Initialize the frame to read the data and verify memory allocation */
 AVFrame* frame = av_frame_alloc();
 if (!frame)
 {
 cout << "Error allocating the frame" << endl;
 return output;
 }

 /* Initialization of the Context, to open the file */
 AVFormatContext* formatContext = NULL;
 /* Opening the file, and check if it has opened */
 if (avformat_open_input(&formatContext, path_name, NULL, NULL) != 0)
 {
 av_frame_free(&frame);
 cout << "Error opening the file" << endl;
 return output;
 }

 /* Find the stream info, if not found, exit */
 if (avformat_find_stream_info(formatContext, NULL) < 0)
 {
 av_frame_free(&frame);
 avformat_close_input(&formatContext);
 cout << "Error finding the stream info" << endl;
 return output;
 }

 /* Check inputs to verify time input */
 if(start_time>(formatContext->duration/1000000)){
 cout<< "Error, start_time is over file duration"<* Chunk = number of samples to output */
 long long int chunk = ((formatContext->bit_rate)*lenght/8);
 /* Start = address of sample where start to read */
 long long int start = ((formatContext->bit_rate)*start_time/8);
 /* Tot_sampl = number of the samples in the file */
 long long int tot_sampl = (formatContext->bit_rate)*(formatContext->duration)/8000000;

 /* Set the lenght of chunk to avoid segfault and to read all the file */
 if (start+chunk>tot_sampl) {chunk = tot_sampl-start;}
 if (lenght==0) {start = 0; chunk = tot_sampl;}

 /* initialize the array to output */
 output.data = new unsigned char[chunk];
 output.bitrate = formatContext->bit_rate;
 output.size=chunk;

 av_dump_format(formatContext,0,NULL,0);
 cout<* Find the audio Stream, if no audio stream are found, clean and exit */
 AVCodec* cdc = NULL;
 int streamIndex = av_find_best_stream(formatContext, AVMEDIA_TYPE_AUDIO, -1, -1, &cdc, 0);
 if (streamIndex < 0)
 {
 av_frame_free(&frame);
 avformat_close_input(&formatContext);
 cout << "Could not find any audio stream in the file" << endl;
 return output;
 }

 /* Open the audio stream to read data in audioStream */
 AVStream* audioStream = formatContext->streams[streamIndex];

 /* Initialize the codec context */
 AVCodecContext* codecContext = audioStream->codec;
 codecContext->codec = cdc;
 /* Open the codec, and verify if it has opened */
 if (avcodec_open2(codecContext, codecContext->codec, NULL) != 0)
 {
 av_frame_free(&frame);
 avformat_close_input(&formatContext);
 cout << "Couldn't open the context with the decoder" << endl;
 return output;
 }

 /* Initialize buffer to store compressed packets */
 AVPacket readingPacket;
 av_init_packet(&readingPacket);


 int j=0;
 int count = 0; 

 while(av_read_frame(formatContext, &readingPacket)==0){
 if((count+readingPacket.size)>start){
 if(readingPacket.stream_index == audioStream->index){

 AVPacket decodingPacket = readingPacket;

 // Audio packets can have multiple audio frames in a single packet
 while (decodingPacket.size > 0){
 // Try to decode the packet into a frame
 // Some frames rely on multiple packets, so we have to make sure the frame is finished before
 // we can use it
 int gotFrame = 0;
 int result = avcodec_decode_audio4(codecContext, frame, &gotFrame, &decodingPacket);

 count += result;

 if (result >= 0 && gotFrame)
 {
 decodingPacket.size -= result;
 decodingPacket.data += result;
 int a;

 for(int i=0;idata[0][i];

 j++;
 if(j>=chunk) break;
 }

 // We now have a fully decoded audio frame
 }
 else
 {
 decodingPacket.size = 0;
 decodingPacket.data = NULL;
 }
 if(j>=chunk) break;
 }
 } 
 }else count+=readingPacket.size;

 // To prevent memory leak, must free packet.
 av_free_packet(&readingPacket);
 if(j>=chunk) break;
 }

 // Some codecs will cause frames to be buffered up in the decoding process. If the CODEC_CAP_DELAY flag
 // is set, there can be buffered up frames that need to be flushed, so we'll do that
 if (codecContext->codec->capabilities & CODEC_CAP_DELAY)
 {
 av_init_packet(&readingPacket);
 // Decode all the remaining frames in the buffer, until the end is reached
 int gotFrame = 0;
 int a;
 int result=avcodec_decode_audio4(codecContext, frame, &gotFrame, &readingPacket);
 while (result >= 0 && gotFrame)
 {
 // We now have a fully decoded audio frame
 for(int i=0;idata[0][i];

 j++;
 if(j>=chunk) break;
 }
 if(j>=chunk) break;
 }
 }

 // Clean up!
 av_free(frame);
 avcodec_close(codecContext);
 avformat_close_input(&formatContext);

 cout<<"Ended Reading, "<code></fstream></iostream></cstdlib>

Here is the dataReader.h


/* 
 * File: dataReader.h
 * Author: davide
 *
 * Created on 27 luglio 2015, 11.11
 */

#ifndef DATAREADER_H
#define DATAREADER_H

/* function that reads a file and outputs an array of samples
 * @ path_name = the path of the file to read
 * @ start_time = the position where to start the data reading, 0 = start
 * the time is in seconds, it can hold to 10e-6 seconds
 * @ lenght = the lenght of the frame to extract the data, 
 * 0 = read all the file (do not use with big files)
 * if lenght > of file duration, it reads through the end of file.
 * the time is in seconds, it can hold to 10e-6 seconds 
 */

#include 

class audioChunk{
public:
 uint8_t *data;
 unsigned int size;
 int bitrate;
 int getTimeLenght();
 audioChunk();
};

class audioChunk_dNorm{
public:
 double* data;
 unsigned int size;
 int bitrate;
 int getTimeLenght();
 void fillAudioChunk(audioChunk* cnk);
 audioChunk_dNorm();
};

audioChunk readData(const char* path_name, const double start_time, const double lenght);

#endif /* DATAREADER_H */


And finally there is the main.cpp of the application.


/* 
 * File: main.cpp
 * Author: davide
 *
 * Created on 28 luglio 2015, 17.04
 */

#include <cstdlib>
#include "dataReader.h"
#include "transforms.h"
#include "tognuplot.h"
#include <fstream>
#include <iostream>

using namespace std;

/*
 * 
 */
int main(int argc, char** argv) {

 audioChunk *chunk1=new audioChunk;

 audioChunk_dNorm *normChunk1=new audioChunk_dNorm;

 *chunk1=readData("./audio/demo-unprocessed.wav",0,1);

 normChunk1->fillAudioChunk(chunk1);

 ofstream file1;
 file1.open("./file/2wave.txt", std::ofstream::trunc);
 if(file1.is_open()) {
 for(int i=0;isize;i++) {
 int a=chunk1->data[i];
 file1<code></iostream></fstream></cstdlib>

I can't understand why the outputs goes like this. Is it possible that the decoder can't convert the samples (pcm_16le, 16bits) into FFMPEG AVFrame.data, that stores the samples ad uint8_t ? And if it is it is there some way to make FFMPEG work for audio files that stores samples at more than 8 bits ?


The file graph1-demo_good.jpg is how the samples should be, extracted with a working LIBSNDFILE application that I made.


EDIT : Seems like the program can't convert the decoded data, couples of little endian bytes stored in a couple of uint8_t unsigned char, into the destination format (that i set as unsigned char[]), because it stores the bits as little-endian 16 bytes. So the data into audioChunk.data is right, but I have to read it not as an unsigned char, but as a couple of little-endian bytes.


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How to Use Analytics & Reports for Marketing, Sales & More
28 septembre 2023, par Erin — Analytics TipsBy now, most professionals know they should be using analytics and reports to make better business decisions. Blogs and thought leaders talk about it all the time. But most sources don’t tell you how to use analytics and reports. So marketers, salespeople and others either skim whatever reports they come across or give up on making data-driven decisions entirely.
But it doesn’t have to be this way.
In this article, we’ll cover what analytics and reports are, how they differ and give you examples of each. Then, we’ll explain how clean data comes into play and how marketing, sales, and user experience teams can use reports and analytics to uncover actionable insights.
What’s the difference between analytics & reports ?
Many people speak of reports and analytics as if the terms are interchangeable, but they have two distinct meanings.
A report is a collection of data presented in one place. By tracking key metrics and providing numbers, reports tell you what is happening in your business. Analytics is the study of data and the process of generating insights from data. Both rely on data and are essential for understanding and improving your business results.
A science experiment is a helpful analogy for how reporting and analytics work together. To conduct an experiment, scientists collect data and results and compile a report of what happened. But the process doesn’t stop there. After generating a data report, scientists analyse the data and try to understand the why behind the results.
In a business context, you collect and organise data in reports. With analytics, you then use those reports and their data to draw conclusions about what works and what doesn’t.
Reports examples
Reports are a valuable tool for just about any part of your business, from sales to finance to human resources. For example, your finance team might collect data about spending and use it to create a report. It might show how much you spend on employee compensation, real estate, raw materials and shipping.
On the other hand, your marketing team might benefit from a report on lead sources. This would mean collecting data on where your sales leads come from (social media, email, organic search, etc.). You could collect and present lead source data over time for a more in-depth report. This shows which sources are becoming more effective over time. With advanced tools, you can create detailed, custom reports that include multiple factors, such as time, geographical location and device type.
Analytics examples
Because analytics requires looking at and drawing insights from data and reports to collect and present data, analytics often begins by studying reports.
In our example of a report on lead sources, an analytics professional might study the report and notice that webinars are an important source of leads. To better understand this, they might look closely at the number of leads acquired compared to how often webinars occur. If they notice that the number of webinar leads has been growing, they might conclude that the business should invest in more webinars to generate more leads. This is just one kind of insight analytics can provide.
For another example, your human resources team might study a report on employee retention. After analysing the data, they could discover valuable insights, such as which teams have the highest turnover rate. Further analysis might help them uncover why certain teams fail to keep employees and what they can do to solve the problem.
The importance of clean data
Both analytics and reporting rely on data, so it’s essential your data is clean. Clean data means you’ve audited your data, removed inaccuracies and duplicate entries, and corrected mislabelled data or errors. Basically, you want to ensure that each piece of information you’re using for reports and analytics is accurate and organised correctly.
If your data isn’t clean and accurate, neither will your reports be. And making business decisions based on bad data can come at a considerable cost. Inaccurate data might lead you to invest in a channel that appears more valuable than it actually is. Or it could cause you to overlook opportunities for growth. Moreover, poor data maintenance and the poor insight it provides will lead your team to have less trust in your reports and analytics team.
The simplest way to maintain clean data is to be meticulous when inputting or transferring data. This can be as simple as ensuring that your sales team fills in every field of an account record. When you need to import or transfer data from other sources, you need to perform quality assurance (QA) checks to make sure data is appropriately labelled and organised.
Another way to maintain clean data is by avoiding cookies. Most web visitors reject cookie consent banners. When this happens, analysts and marketers don’t get data on these visitors and only see the percentage of users who accept tracking. This means they decide on a smaller sample size, leading to poor or inaccurate data. These banners also create a poor user experience and annoy web visitors.
Matomo can be configured to run cookieless — which, in most countries, means you don’t need to have an annoying cookie consent screen on your site. This way, you can get more accurate data and create a better user experience.
Marketing analytics and reports
Analytics and reporting help you measure and improve the effectiveness of your marketing efforts. They help you learn what’s working and what you should invest more time and money into. And bolstering the effectiveness of your marketing will create more opportunities for sales.
One common area where marketing teams use analytics and reports is to understand and improve their keyword rankings and search engine optimization. They use web analytics platforms like Matomo to report on how their website performs for specific keywords. Insights from these reports are then used to inform changes to the website and the development of new content.
As we mentioned above, marketing teams often use reports on lead sources to understand how their prospects and customers are learning about the brand. They might analyse their lead sources to better understand their audience.
For example, if your company finds that you receive a lot of leads from LinkedIn, you might decide to study the content you post there and how it differs from other platforms. You could apply a similar content approach to other channels to see if it increases lead generation. You can then study reporting on how lead source data changes after you change content strategies. This is one example of how analysing a report can lead to marketing experimentation.
Email and paid advertising are also marketing channels that can be optimised with reports and analysis. By studying the data around what emails and ads your audience clicks on, you can draw insights into what topics and messaging resonate with your customers.
Marketing teams often use A/B testing to learn about audience preferences. In an A/B test, you can test two landing page versions, such as two different types of call-to-action (CTA) buttons. Matomo will generate a report showing how many people clicked each version. From those results, you may draw an insight into the design your audience prefers.
Sales analytics and reports
Sales analytics and reports are used to help teams close more deals and sell more efficiently. They also help businesses understand their revenue, set goals, and optimise sales processes. And understanding your sales and revenue allows you to plan for the future.
One of the keys to building a successful sales strategy and team is understanding your sales cycle. That’s why it’s so important for companies to analyse their lead and sales data. For business-to-business (B2B) companies in particular, the sales cycle can be a long process. But you can use reporting and analytics to learn about the stages of the buying cycle, including how long they take and how many leads proceed to the next step.
Analysing lead and customer data also allows you to gain insights into who your customers are. With detailed account records, you can track where your customers are, what industries they come from, what their role is and how much they spend. While you can use reports to gather customer data, you also have to use analysis and qualitative information in order to build buyer personas.
Many sales teams use past individual and business performance to understand revenue trends. For instance, you might study historical data reports to learn how seasonality affects your revenue. If you dive deeper, you might find that seasonal trends may depend on the country where your customers live.
Conversely, it’s also important to analyse what internal variables are affecting revenue. You can use revenue reports to identify your top-performing sales associates. You can then try to expand and replicate that success. While sales is a field often driven by personal relationships and conversations, many types of reports allow you to learn about and improve the process.
Website and user behaviour analytics and reports
More and more, businesses view their websites as an experience and user behaviour as an important part of their business. And just like sales and marketing, reporting and analytics help you better understand and optimise your web experience.
Many web and user behaviour metrics, like traffic source, have important implications for marketing. For example, page traffic and user flows can provide valuable insights into what your customers are interested in. This can then drive future content development and marketing campaigns.
You can also learn about how your users navigate and use your website. A robust web analytics tool, like Matomo, can supply user session recordings and visitor tracking. For example, you could study which pages a particular user visits. But Matomo also has a feature called Transitions that provides visual reports showing where a particular page’s traffic comes from and where visitors tend to go afterward.
As you consider why people might be leaving your website, site performance is another important area for reporting. Most users are accustomed to near-instantaneous web experiences, so it’s worth monitoring your page load time and looking out for backend delays. In today’s world, your website experience is part of what you’re selling to customers. Don’t miss out on opportunities to impress and delight them.
Dive into your data
Reporting and analytics can seem like mysterious buzzwords we’re all supposed to understand already. But, like anything else, they require definitions and meaningful examples. When you dig into the topic, though, the applications for reporting and analytics are endless.
Use these examples to identify how you can use analytics and reports in your role and department to achieve better results, whether that means higher quality leads, bigger deal size or a better user experience.
To see how Matomo can collect accurate and reliable data and turn it into in-depth analytics and reports, start a free 21-day trial. No credit card required.
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ffmpeg command to add moving text watermark to video [closed]
13 octobre 2023, par Imran Khan

// Constants for watermark movement, direction change intervals, fade intervals, and overlap duration
 const MOVE_SPEED = 3;
 const DIRECTION_CHANGE_MIN = 3000;
 const DIRECTION_CHANGE_MAX = 6000;
 const FADE_INTERVAL_MIN = 10000;
 const FADE_INTERVAL_MAX = 20000;
 const OVERLAP_DURATION = 2000;

 // Get references to the video container and watermarks
 const container = document.querySelector('.video-container');
 const watermark1 = document.getElementById('watermark1');
 const watermark2 = document.getElementById('watermark2');

 // Helper function to get a random integer between min and max (inclusive)
 function getRandomInt(min, max) {
 return Math.floor(Math.random() * (max - min + 1)) + min;
 }

 // Helper function to get a random direction (either 1 or -1)
 function getRandomDirection() {
 return Math.random() > 0.5 ? 1 : -1;
 }

 // Set the initial position of the watermark inside the video container
 function setInitialPosition(watermark) {
 const x = getRandomInt(0, container.offsetWidth - watermark.offsetWidth);
 const y = getRandomInt(0, container.offsetHeight - watermark.offsetHeight);
 watermark.style.left = `${x}px`;
 watermark.style.top = `${y}px`;
 watermark.style.opacity = 1;
 }

 // Function to handle continuous movement of the watermark
 function continuousMove(watermark) {
 let dx = getRandomDirection() * MOVE_SPEED;
 let dy = getRandomDirection() * MOVE_SPEED;

 // Inner function to handle the actual movement logic
 function move() {
 let x = parseInt(watermark.style.left || 0) + dx;
 let y = parseInt(watermark.style.top || 0) + dy;

 // Check boundaries and reverse direction if necessary
 if (x < 0 || x > container.offsetWidth - watermark.offsetWidth) {
 dx = -dx;
 }
 if (y < 0 || y > container.offsetHeight - watermark.offsetHeight) {
 dy = -dy;
 }

 // Apply the new position
 watermark.style.left = `${x}px`;
 watermark.style.top = `${y}px`;

 // Continue moving
 setTimeout(move, 100);
 }

 move();

 // Change direction at random intervals
 setInterval(() => {
 const randomChoice = Math.random();
 if (randomChoice < 0.33) {
 dx = getRandomDirection() * MOVE_SPEED;
 dy = 0;
 } else if (randomChoice < 0.66) {
 dy = getRandomDirection() * MOVE_SPEED;
 dx = 0;
 } else {
 dx = getRandomDirection() * MOVE_SPEED;
 dy = getRandomDirection() * MOVE_SPEED;
 }
 }, getRandomInt(DIRECTION_CHANGE_MIN, DIRECTION_CHANGE_MAX));
 }

 // Handle the fading out of the old watermark and fading in of the new watermark
 function fadeOutAndIn(oldWatermark, newWatermark) {
 setTimeout(() => {
 setInitialPosition(newWatermark);
 newWatermark.style.opacity = 1;
 }, 0);

 setTimeout(() => {
 oldWatermark.style.opacity = 0;
 }, OVERLAP_DURATION);

 // Continue the cycle
 setTimeout(() => fadeOutAndIn(newWatermark, oldWatermark), getRandomInt(FADE_INTERVAL_MIN, FADE_INTERVAL_MAX));
 }

 // Initialize the watermarks
 setInitialPosition(watermark1);
 continuousMove(watermark1);
 setTimeout(() => fadeOutAndIn(watermark1, watermark2), getRandomInt(FADE_INTERVAL_MIN, FADE_INTERVAL_MAX));
 continuousMove(watermark2);


body, html {
 height: 100%;
 margin: 0;
 font-family: Arial, sans-serif;
 display: flex;
 justify-content: center;
 align-items: center;
 background-color: #eee;
 }

 .video-container {
 width: 50vw;
 height: 50vh;
 background-color: black;
 position: relative;
 overflow: hidden;
 }

 .watermark {
 font-size: 22px;
 position: absolute;
 color: white;
 opacity: 0;
 transition: opacity 2s;
 }




 
 
 


 <div class="video-container">
 <span class="watermark">watermark</span>
 <span class="watermark">watermark</span>
 </div>
 








I am trying to achieve an animation effect using ffmpeg. I am adding text watermark to an input video and animate the text diagonally, horizontally or vertically changed randomly. Here is what I have achieved so far.


ffmpeg -i video.mp4 -c:v libx264 -preset veryfast -crf 25 -tune zerolatency -vendor ap10 -pix_fmt yuv420p -filter:v "drawtext=fontfile=./fonts/Roboto/Roboto-Light.ttf:text='Watermark':fontcolor=white:alpha=0.5:fontsize=60:y=h/10*mod(t\,10):x=w/10*mod(t\,10):enable=1" -c:a copy watermark.mp4

Here is what I want it to work.


Initial Position :
The watermark randomly placed in the video the first time they appear.


Continuous Movement :
The watermark continuously moves within the video.
The direction and speed of the watermark's movement are random. It can move diagonally, purely horizontally, or purely vertically.
When the watermark reaches the boundaries of the video, it bounces back, changing its direction.


Direction Change :
During its continuous movement, the watermark will suddenly change its direction at random intervals between 3 to 6 seconds.
When changing direction, the watermark can randomly determined move diagonally, purely horizontally, or purely vertically.


Fade In and Out :
Every 10 to 20 seconds (randomly determined), the current watermark begins to fade out.
As the old watermark starts to fade out, a new watermark fades in at a random position, ensuring that there's always a visible watermark on the screen.
These two watermarks (the fading old one and the emerging new one) overlap on the screen for a duration of 2 seconds, after which the old watermark completely disappears.
These patterns and characteristics together provide a dynamic, constantly moving, and changing watermark for the video


To achieve the result I think we can use the
drawtextmultiple times. I have attached the HTML and JavaScript variant just for the reference to understand the result but I am trying to do this using ffmpeg.

Syndiquer tout le site
