Cuboid Coding of Depth Motion Vectors Using Binary Tree Based Decomposition

Shampa Shahriyar, Manzur Murshed, Mortuza Ali, Manoranjan Paul

Research output: Other contribution to conferencePoster

Abstract

This Motion vectors of depth-maps in multiview and free-viewpoint videos exhibit strongspatial as well as inter-componentclustering tendency. In thispaper, we present a schemethat encodes the motion vector information at the frame level to efficiently exploit thesecorrelations. It arranges the motion vectors ofall the macroblocks of a frame into a 3Dvolume by considering that the horizontal (x-axis) and vertical (y-axis) displacementcomponents belong to adjacent planes (p-axis). Information about the positions ofmacroblocks of identical coding mode is then extracted into different bitmaps. Theproposed scheme first compresses the multidimensional bitmaps of macroblock modeinformation and then encodes only thenon-zero components of motion vectors.
Original languageEnglish
Pages469-469
Number of pages1
Publication statusPublished - 2015
EventData Compression Conference - Snowbird, Utah, USA, New Zealand
Duration: 07 Apr 201509 Apr 2015
http://www.cs.brandeis.edu/~dcc/Program.html (conference programs)

Conference

ConferenceData Compression Conference
CountryNew Zealand
Period07/04/1509/04/15
Internet address

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