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Video Compression Bee Fong Lossy Compression Inter Compression among frames Intra Frame Compression Frame Compression Compression in a frame Intra Frame Compression Similar to Image Compression Do not discussion, please refer to the image compression section (JPEG) Coding Order != Display Order Figure 1 Figure 2 Encoding rate may be slow, but Decoding rate is fast Inter Frame Compression I Frame P B D Intra Frame Frame Predictive Frame Frame Bidirectional Frame Frame Compression Methods Subsampling Duplicate frames, 1 compression stream Differencing Compare a Frame with its predecessor. Take the difference. Block Differencing Frame divided into blocks, compare block difference. Compression Methods Motion Motion vector, compare blocks with location difference. Frame Compensation Segmentation Frame divided into equal-size nonoverlapping blocks, block size affecting the chance of matching Search Threshold Compare #difference with a predefined value Compression Methods Block Search Search area = (width + 2dx)(height + 2dy) Distortion Measure Use Pel difference instead of mean absolute difference Compression Methods Suboptimal Do some search in the search area, not all. Coding Motion Vector Use prediction motion vector Grouping motion vectors Image Search Methods Objects Use overlapping object layers My Ideas “Cutting-Sandwich Compression” Motivation: for high quality compression, or lossless video compression compression rate is low. Cutting-Sandwich Compression Cutting Frames horizontally or vertically, then do compression Reason: for a single frame, the repeating rate of pixels is low Assumption: the repeating chance of the same line of frames may be higher. Implementation Base on the general Video compression approach, treat images in another dimensions (horizontal cutting images, or vertical cutting images) Treat as a 3-d block of frames, stored in buffer for encoding / decoding. Implementation For each 3-d block, compare the general, horizontal and vertical compression rate, take the best. Add two extra bits for mode selection. 00 for general mode, 01 for vertical mode, 10 for horizontal mode and 11 for open. Tradeoff is low. Tradeoff For example, 1 block = 640 frames of (640 x 480) image, 3 bits per pixel. 2 extra bits / (640 x 640 x 480 x 3) bits ~= 0%. Tradeoff More resources are needed for the compression (time, software, hardware) Encoding rate may be slower, Decoding rate – no big difference if we take some buffer (again, only decoding needed to be fast in general case) Software and hardware are cheap now, not a technical problem. Tradeoff Buffer is needed for encoding and decoding in video compression, not a big deal. Other supportive compression methods in Sandwich Run-Length LZ77 LZW Encoding