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Hypercube based interview prediction for multi-view video coding

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Date Issued:
2005-10
Title: Hypercube based interview prediction for multi-view video coding.
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Name(s): Furht, Borko, creator
Kalva, Hari, creator
Type of Resource: text
Genre: Article
Issuance: single unit
Date Issued: 2005-10
Physical Description: text/pdf [5p]
Language(s): English
Identifier: 358175 (digitool), FADT358175 (IID), fau:2119 (fedora)
Note(s): Multi-view video coding (MVC) is being standardized by the MPEG committee. One of the important factors is improving the prediction efficiency by exploiting the spatio-temporal redundancies among the views. The prediction structure has to be selected to balance prediction efficiency as well as coding complexity. Increasing the number of reference views will improve the prediction but also increases the encoding and decoding complexity. A secondary goal is to compactly represent the prediction structure and the dependencies. In this paper we present a hypercube inspired prediction structure for inter-view predciton. The proposed structure balances the efficiency of prediction and coding complexity well. We present the results of motion estimation efficiency and compare it with a ‘grid’ prediction model. We show that using a Hypercube based model will improve the overall efficiency of the system.
The following paper was presented in 2005 at the 2nd Workshop on ImmersiveCommunication and Broadcast Systems and may be cited as H. Kalva and B. Furht, Hypercube Based Interview Prediction for Multi‐view Coding, Proceedings of the 2nd Workshop on Immersive Communication and Broadcast Systems, ICOB 2005, Berlin, Germany, October 2005.
Subject(s): MPEG (Video coding standard)
Persistent Link to This Record: http://purl.flvc.org/fcla/dt/358175
Restrictions on Access: ©2005 Hari Kalva and Borko Furht.
Host Institution: FAU

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