Depth Map Compression by Contour Networks for Video Sequences

Authors

  • Ankush Rai Vellore Institute of Technology, Chennai, India

DOI:

https://doi.org/10.37591/rtpc.v2i2.487

Abstract

The advancing fields in video technology like that of 3D TV and Free Viewpoint Video essentially requires more information to transmit in addition with the 2D color maps. This information is the depth maps of the accompanying scenes from the videos sequences in order to facilitate rendering of arbitrary viewpoints within it. In this study, we present a novel algorithm to determine the contours from the given video sequences and form a network of it in the run-time and thereby create a new-data format accompanied by the color scheme with the contour network exhibiting the depth maps and the dynamically adjusting with changes it experienced while the object remain in motion. Preserving the depth maps and portraying its continuity is crucial for the synthesis of high quality view. This study will facilitate the divisionm of features derivable from RGB color visions to extract precise and hidden visual information of superior visual quality with low geometric distortions.

Keywords: Contours, computer vision, video sequences, depth determination

Cite this Article
Rai A. Depth Map Compression by Contour Networks for Video Sequences.
Recent Trends in Parallel Computing. 2015; 2(2): 9–13p.

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Published

2015-08-12

Issue

Vol. 2 No. 2 (2015)

Section

Research Articles

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