Preprocessing of depth and color information for layered depth image coding

Authors:
Seung-Uk Yoon;Sung-Yeol Kim;Yo-Sung Ho
Affiliations:
Gwangju Institute of Science and Technology (GIST), Gwangju, Korea;Gwangju Institute of Science and Technology (GIST), Gwangju, Korea;Gwangju Institute of Science and Technology (GIST), Gwangju, Korea
Venue:
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
Year:
2004

Citing 4
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A framework for multi-view video coding using layered depth images

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Abstract

The layered depth image (LDI) is a popular approach to represent three-dimensional objects with complex geometry for image-based rendering (IBR). LDI contains several attribute values together with multiple layers at each pixel location. In this paper, we propose an efficient preprocessing algorithm to compress depth and color information of LDI. Considering each depth value as a point in the two-dimensional space, we compute the minimum distance between a straight line passing through the previous two values and the current depth value. Finally, the current attribute value is replaced by the minimum distance. The proposed algorithm reduces the variance of the depth information; therefore, it improves the transform and coding efficiency.