3-D structure assisted reference view generation for H.264 based multi-view video coding

Date

2007-06-13

Author

Gedik, O. Serdar
Oezkalayci, Burak
Alatan, Abdullah Aydın

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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A 3D geometry-based multi-view video coding (MVC) method is proposed. In order to utilize the spatial redundancies between multiple views, the scene geometry is estimated as dense depth maps. The dense depth estimation problem is modeled by using a Markov random field (MRF) and solved via the belief propagation algorithm. Relying on these depth maps of the scene, novel view estimates of the intermediate views of the multi-view set is obtained with a 3D warping algorithm, which also performs hole-filling in the occlusion regions. The proposed MVC method, based on H.264 standard, encodes a number of reference views in a standard manner, whereas the residuals of the novel view predictions are encoded separately. The proposed MVC method is compared against the well-known JMVM compression algorithm, yielding competitive performances, while additionally providing 3D structure information of the observed scene.

Subject Keywords

Computer Science, Artificial Intelligence, Computer Science, Theory & Methods, Engineering, Electrical & Electronic, Telecommunications, Computer Science, Artificial Intelligence, Computer Science, Theory & Methods, Engineering, Electrical & Electronic, Telecommunications

URI

https://hdl.handle.net/11511/55476

Conference Name

IEEE 15th Signal Processing and Communications Applications Conference

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

O. S. Gedik, B. Oezkalayci, and A. A. Alatan, “3-D structure assisted reference view generation for H.264 based multi-view video coding,” presented at the IEEE 15th Signal Processing and Communications Applications Conference, Eskisehir, TURKEY, 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55476.