Dynamic computational complexity and bit allocation for optimizing H.264/AVC video compression

Kaminsky, Evgeny; Grois, Dan; Hadar, Ofer

doi:10.1016/j.jvcir.2007.05.002

Cited by 24 publications

(2 citation statements)

References 12 publications

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Section: Introductionmentioning

confidence: 99%

“…From the video coding point of view, many bit allocation algorithms [17][18][19][20][21][22][23][24] are proposed for improving compression efficiency. Kaminsky et al proposed a complexity-ratedistortion model to dynamically allocate bits with both complexity and distortion constraints [17]. Lu et al proposed a Group-Of-Picture (GOP-)level bit allocation [18] scheme and Shen et al proposed another frame-level bit allocation method which decreases the average standard deviation of video quality [19].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Stereoscopic Visual Attention-Based Regional Bit Allocation Optimization for Multiview Video Coding

Zhang

Jiang

et al. 2010

EURASIP J. Adv. Signal Process.

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We propose a Stereoscopic Visual Attention-(SVA-) based regional bit allocation optimization for Multiview Video Coding (MVC) by the exploiting visual redundancies from human perceptions. We propose a novel SVA model, where multiple perceptual stimuli including depth, motion, intensity, color, and orientation contrast are utilized, to simulate the visual attention mechanisms of human visual system with stereoscopic perception. Then, a semantic region-of-interest (ROI) is extracted based on the saliency maps of SVA. Both objective and subjective evaluations of extracted ROIs indicated that the proposed SVA model based on ROI extraction scheme outperforms the schemes only using spatial or/and temporal visual attention clues. Finally, by using the extracted SVA-based ROIs, a regional bit allocation optimization scheme is presented to allocate more bits on SVA-based ROIs for high image quality and fewer bits on background regions for efficient compression purpose. Experimental results on MVC show that the proposed regional bit allocation algorithm can achieve over 20 ∼ 30% bit-rate saving while maintaining the subjective image quality. Meanwhile, the image quality of ROIs is improved by 0.46 ∼ 0.61 dB at the cost of insensitive image quality degradation of the background image.

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