Efficient disparity vector prediction schemes with modified P frame for 2D camera arrays |
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Authors: | Aykut Avci Jan De CockPeter Lambert Roel BeernaertJelle De Smet Lawrence BogaertYouri Meuret Hugo ThienpontHerbert De Smet |
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Affiliation: | a Ghent University, Centre for Microsystems Technology, Department of Electronics and Information Systems, Technologiepark 914, B-9052 Ghent, Belgium b Ghent University - IBBT, Department of Electronics and Information Systems, Multimedia Lab, Gaston Crommenlaan 8 bus 201, B-9050 Ledeberg-Ghent, Belgium c Vrije Universiteit Brussel, Brussels Photonics Team, Pleinlaan 2, B-1050 Brussels, Belgium d IMEC, Centre for Microsystems Technology, Technologiepark 914, B-9052 Ghent, Belgium |
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Abstract: | An efficient disparity estimation algorithm for multi-view video sequences, recorded by a two-dimensional camera array in which the cameras are spaced equidistantly, is presented. Because of the strong geometrical relationship among views, the disparity vectors of a certain view can for most blocks be derived from the disparity vectors of other views. A frame constructed using that idea is called a D frame in this work. Three new prediction schemes which contain D frames are proposed for encoding 5 × 3 multi-view video sequences. The schemes are applied to several multi-view image sequences taken from a camera-array and they are compared in terms of quality, bit-rate and complexity. The experimental results show that the proposed prediction schemes significantly decrease the complexity of the encoder at a very low cost of quality and/or bit-rate. |
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Keywords: | Multi-view Video coding Camera array Disparity Vector coding Estimation Complexity Scheme Prediction H.264 |
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