Work

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

Year: 2010

Type: article

Abstract: 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 % bit-rate saving while maintaining the subjective image quality. Meanwhile, the image quality of ROIs is improved by dB at the cost of insensitive image quality degradation of the background image.

Source: EURASIP Journal on Advances in Signal Processing

DOI: 10.1155/2010/848713

Authors: Yun Zhang, Gangyi Jiang, Mei Yu, Ken Chen, Qionghai Dai

Institutions: Ningbo University, Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Tsinghua University

Language: English

Topic: Video Coding and Compression Technologies

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,790

Funders: Microsoft Research, National Natural Science Foundation of China, Ningbo University, K. C. Wong Magna Fund in Ningbo University