Title :
Bio-inspired perceptual video encoding based on H.264/AVC
Author :
Wu, Tung-Hsing ; Wu, Guan-Lin ; Chien, Shao-Yi
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
A bio-inspired perceptual video coding algorithm which can reduce the bit rate of the encoded bit stream while maintaining equal perceptual (visual) quality is proposed in this paper. Instead of applying the complicated bio-inspired perceptual model, we propose an algorithm which automatically analyzes the spatial and temporal information in the video sequence, and achieves better bit allocation for video coding systems by changing the quantization parameter (QP) in macroblock (MB) basis. Experiments show that our algorithm achieves about 5-30% bit-rate saving in the QP range of 28-36 without perceptual (visual) quality degradation.
Keywords :
image sequences; quantisation (signal); video coding; H.264 coding; bio inspired perceptual video encoding; bit allocation; bit-rate reduction; macroblock basis; perceptual quality; quantization parameter; video sequence; Algorithm design and analysis; Automatic voltage control; Bit rate; Encoding; Information analysis; Quadratic programming; Quantization; Streaming media; Video coding; Video sequences;
Conference_Titel :
Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-3827-3
Electronic_ISBN :
978-1-4244-3828-0
DOI :
10.1109/ISCAS.2009.5118390