Linear Prediction for Interactivity of Multiview Video Application

Authors:
You Yang;Liangzhong Fan;Gangyi Jiang
Affiliations:
Broadband Network and Multimedia Laboratory, Department of Automation, Tsinghua University, Beijing, China 100084;Zhejiang Provincial Key Laboratory of Information Network Technology, Zhejiang University, Hangzhou, China 310027;Faculty of Information Science and Engineering, Ningbo University, Ningbo, China 315211
Venue:
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2009

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Abstract

Interactive multiview video application with the immersive viewing experience and flexible interaction technology will be the promising entertainment form in the future. Interactivity is another important parameter besides rate-distortion performance in multiview video coding (MVC) scheme design and optimization. In this paper, we present an interactivity evaluation model by random graph method and structural complexity evaluation model by dependency function. Detailed analyses and experimental results show that the interactivity of multiview video application can be linearly predicted by the structural complexity. The linear prediction relationship indicates that the interactivity of MVC scheme can be analyzed by the structural complexity, and it is helpful for future multiview video application designers.