What is GStreamer and what are its top alternatives?
Top Alternatives to GStreamer
The universal multimedia toolkit.
OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform. ...
Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery. ...
imgix is a real-time image processing service and CDN. Resize, crop, and edit images simply by changing their URLs. ...
Amazon Elastic Transcoder
Convert or transcode media files from their source format into versions that will playback on devices like smartphones, tablets and PCs. Create a transcoding “job” specifying the location of your source media file and how you want it transcoded. Amazon Elastic Transcoder also provides transcoding presets for popular output formats. All these features are available via service API, AWS SDKs and the AWS Management Console. ...
scikit-image is a collection of algorithms for image processing.
It is a free and open-source software suite for displaying, converting, and editing raster image and vector image files. It can read and write images in a variety of formats (over 200) including PNG, JPEG, GIF, HEIC, TIFF, DPX, EXR, WebP, Postscript, PDF, and SVG. ...
GStreamer alternatives & related posts
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Hello. So, I wanted to make a decision on whether to use WebRTC or Amazon Chime for a conference call (meeting). My plan is to build an app with features like video broadcasting, and the ability for all the participants to talk and chat. I have used Agora's web SDK for video broadcasting, and Socket.IO for chat features. As I read the comparison between Amazon Chime and WebRTC, it further intrigues me on what I should use given my scenario? Is there any way that so many related technologies could be a hindrance to the other? Any advice would be appreciated. Thanks. Ritwik Neema
I am trying to implement video calling in a React Native app through Amazon Kinesis. But I was unlucky to find anything related to this on the web. Do you have any example code I can use? or any tutorial? If not, how easy is it to bridge the native library to RN? And what should I use WebRTC or Amazon Chime?? Thanks
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Platform Update: we’ve been using the Performance Test tool provided by KeyCDN for a long time in combination with Pingdom's similar tool and the #WebpageTest and #GoogleInsight - we decided to test out KeyCDN for static asset hosting. The results for the endpoints were superfast - almost 200% faster than CloudFlare in some tests and 370% faster than imgix . So we’ve moved Washington Brown from imgix for hosting theme images, to KeyCDN for hosting all images and static assets (Font, CSS & JS). There’s a few things that we like about “Key” apart from saving $6 a month on the monthly minimum spend ($4 vs $10 for imgix). Key allow for a custom CNAME (no more advertising imgix.com in domain requests and possible SEO improvements - and easier to swap to another host down the track). Key allows JPEG/WebP image requests based on clients ‘accept’ http headers - imgix required a ?auto=format query string on each image resource request - which can break some caches. Key allows for explicitly denying cookies to be set on a zone/domain; cookies are a big strain on limited upload bandwidth so to be able to force these off is great - Cloudflare adds a cookie to every header… for “performance reasons”… but remember “if you’re getting a product something for free…”
In mid-2018 we made a big push for speed on the site. The site, running on PHP, was taking about 7 seconds to load. The site had already been running through CloudFlare for some time but on a shared host in Sydney (which is also where most of the customers are). We found when developing the @TuffTruck site that DigitalOcean was fast - and even though it's located overseas, we still found it 2 seconds faster for Australian users. We found that some Wordpress plugins were really slowing the TTFB - with all plugins off, Wordpress would save respond 1.5-2 seconds faster. With a on/off walk through of each plugin we found 2 plugins by Ontraport (a CRM type service that some forms we populating) was the main culprit. Out they went and we built our own plugin to do push the data to them only when required. With the TTFB acceptable, we moved on to getting the complete page load time down. Turning on CloudFlare 's HTML/CSS/JS minifications & Rocket Loader we could get our group of test pages, including the homepage, loading [in full] in just over 2 seconds. We then moved the images off to imgix and put the CSS, JS and Fonts onto a mirrored subdomain (so that cookies weren't exchanged), but this only shaved about another 0.2 seconds off. We are keeping it running for the moment, but the $10 minimum a month for imgix is hardly worth it (would be different if new images were going up all the time and needed processing). The client is overly happy with the ~70% improvement and has already seen the site move up the ranks of Google's SERP and bring down their PPC costs. AND all the new hosting providers still come in at half the price of the previous Sydney hosting service. We have a few ideas that we are testing on our staging site and will roll these out soon.
related Amazon Elastic Transcoder posts
We were looking for a versatile #MediaTranscoding service for #video to convert TV shows and movies from large content providers into web #VideoStreaming formats. These content providers gave us files ranging from Apple ProRes to h.264, with file sizes from 1 GB to 100 GB, and we needed a tool that could cope with all of it. We looked at Amazon Elastic Transcoder and Zencoder, and eventually chose @Zencoder because it had support for every format we needed, good handling of sound channel remapping, and a clear UI with fast processing times. We automated our usage with it by writing a simple Python script to interact with it's API, and hosted the input and output AV files on Amazon S3, which it could easily talk to. So far we've converted 15 TB representing several thousand files using the service and are quite happy!