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Dense disparity estimation in multiview video coding

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5 Author(s)
Daribo, I. ; Signal & Image Proc. Dept, Telecom ParisTech, Paris, France ; Kaaniche, M. ; Miled, W. ; Cagnazzo, M.
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Multiview video coding is an emerging application where, in addition to classical temporal prediction, an efficient disparity prediction should be performed in order to achieve the best compression performance. A popular coder is the multiview video coding (MVC) extension of H.264/AVC, which uses a block-based disparity estimation (just like temporal prediction in H.264/AVC). In this paper, we propose to improve the MVC extension by using a dense estimation method that generates a smooth disparity map with ideally infinite precision. The obtained disparity is then segmented and efficiently encoded by using a rate-distortion optimization technique. Experimental results show that significant gains can be obtained compared to the block-based disparity estimation technique used in the MVC extension.

Published in:

Multimedia Signal Processing, 2009. MMSP '09. IEEE International Workshop on

Date of Conference:

5-7 Oct. 2009

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