Title :
A novel high efficiency fixed length coding for video compression based on symbol probability estimation
Author :
Sugimoto, Kazuo ; Hattori, Ryoji ; Sekiguchi, Shun-ichi
Author_Institution :
Inf. Technol. R&D Center, Mitsubishi Electr. Corp., Kamakura, Japan
Abstract :
This paper presents a novel fixed length coding scheme for video compression. By utilizing binary symbol probability estimation after symbol binarization, binary symbols are coded using variable length code to fixed length code table to generate fixed length code bitstream. Simulation results show the proposed scheme achieves around 10% better compression efficiency compared to state-of-the-art Huffman-based coder.
Keywords :
Huffman codes; data compression; estimation theory; probability; variable length codes; video coding; binary symbol probability estimation; compression efficiency; fixed length code bitstream; fixed length coding scheme; high efficiency fixed length coding; state-of-the-art Huffman-based coder; symbol binarization; variable length code; video compression; Complexity theory; Decoding; Entropy; Entropy coding; Estimation; Video coding;
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2011 IEEE
Conference_Location :
Tainan
Print_ISBN :
978-1-4577-1321-7
Electronic_ISBN :
978-1-4577-1320-0
DOI :
10.1109/VCIP.2011.6115921
