Perceptual quality evaluation for texture and motion based video coding

Authors:
Marc Bosch;Fengqing Zhu;Edward J. Delp
Affiliations:
Video and Image Processing Lab, School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana;Video and Image Processing Lab, School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana;Video and Image Processing Lab, School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

One approach that can be used to increase compression efficiency beyond the data rates achievable by state-of-the-art video codecs is to use content-based methods whereby not all the pixels are conventionally encoded. An approach to reduce the data rate is to use different coding methods for pixels belonging to areas containing large amount of detail that are costly to encode, for example textures. This can be extended by focusing on the semantic meaning of objects represented in the video sequence and also taking into consideration Human Visual System properties. The goal is to determine where "detail-irrelevant" regions are located in the frame and synthesize them with acceptable perceptual quality. In this paper, we discuss the effects and trade-offs of these techniques based on a set of perceptual experiments and analyze how these areas can influence the viewer's attention.