Microsoft Technology Licensing, LLC

Chih-Lung (Bruce) Lin

Ming-Chieh Lee

Regis J Crinon

Warren Vincent Barkley

Tim M Moore

Wei Zhong

Minghui (Jason) Xia

Feedback and frame synchronization between media encoders and decoders is described. More particularly, the encoder can encode frames that are based on source content to be sent to the decoder. The encoder can determine whether the frame should be cached by the encoder and the decoder. If the frame is to be cached, the encoder can so indicate by encoding the frame with one or more cache control bits. The decoder can receive the frame from the decoder, and can examine the cache control bits to determine whether to cache the frame. The decoder can also decode the frame.

Feedback and frame synchronization between media encoders and decoders

Video coding efficiency is improved by jointly coding the x and y components of motion vectors with a single variable length code. The motion vector components for a block of pixels are predicted based on motion vectors of neighboring blocks of pixels. The predicted x and y components are then jointly coded by assigning a single variable length code corresponding to the pair of components, rather than a separate code for each component. If the x and y components do not have a corresponding entry in the coding table, they are coded with an escape code followed by fixed length codes.

Efficient motion vector coding for video compression

An encoder dynamically filters information for lossy compression so as to control bitrate or quality with few sudden, dramatic changes to perceptual quality of the compressed information. For example, a video encoder regulates the level of a buffer (e.g., how full or empty the buffer is) by adjusting median filtering of video information (e.g., pixel data and/or prediction residuals). The buffer stores compressed video information for the video encoder. Based upon the buffer level, the video encoder changes the median filter kernel applied to video information. If the buffer starts to get too full, the video encoder increases the size of the kernel, which tends to smooth the video information, introduce slight blurriness, and deplete the buffer. If the buffer starts to get too empty, the video encoder decreases the size of the kernel or stops filtering, which tends to preserve the video information and fill the buffer.

Dynamic filtering for lossy compression

The coded block parameters used to code blocks of image samples into structures called macroblocks are compressed more efficiently by exploiting the correlation between chrominance and luminance blocks in each macroblock. In particular, the coded block pattern for chrominance and luminance are combined into a single parameter for the macroblock and jointly coded with a single variable length code. To further enhance coding efficiency, the spatial coherence of coded block patterns can be exploited by using spatial prediction to compute predicted values for coded block pattern parameters.

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Redmond, WA, United States of America

Chih-Lung (Bruce) Lin