Video Compression Algorithms and Memory Efficiency Publication Trend The graph below shows the total number of publications each year in Video Compression Algorithms and Memory Efficiency.

Digital video compression and decompression algorithms (codecs) are at the heart of many modern video products, from DVD players to multimedia jukeboxes to video-capable cell phones. Understanding the ...

Video compression algorithms share many of the compression techniques used in still-image compression. A key difference, however, is that video compression can take advantage of the similarities ...

Google's video series for developers explains the theory and use of compression algorithms to help them learn how to build smaller, better apps and Websites.

Video compression algorithms such as MPEG-2 and H.264 are Discrete Cosine Transform (DCT)-based codecs that use inter-frame prediction to reduce video data between a series of frames.

Efficient implementations of video-compression standards also often require that luma and chroma components are separated in memory, because the encoding algorithms may process them in different ways.

Image and video compression algorithms exploit characteristics of the human visual system, first transforming red, green, and blue color planes into intensity (Y) and color (Cr, Cb) information.

Faster Video Compression Using Machine Learning We have been testing decision tree algorithms to see if they can make video compression faster and more efficient.

The final video comes in at around four times the size of the original file, and looks like noise on the screen. There’s an example video, which we’ve placed below the break.