Encoding motion and approximate segmentation in a slicing floorplan tree structure

Haim Schweitzer; Yanjun Zhang

doi:10.1117/12.206364

17 April 1995 Encoding motion and approximate segmentation in a slicing floorplan tree structure

Haim Schweitzer, Yanjun Zhang

Proceedings Volume 2419, Digital Video Compression: Algorithms and Technologies 1995; (1995) https://doi.org/10.1117/12.206364
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

A new encoding scheme for motion and approximate scene segmentation in video sequences is described. The proposed segmentation partitions the scene into variable size rectangles that can be encoded efficiently in a data structure known as `a slicing floorplan tree' in VLSI design. The motion in each rectangle is represented by size parameters. We describe experiments comparing the compactness of this encoding to motion encoding in MPEG-1, and its quality to motion estimates obtained by standard computer vision techniques. These experiments establish two facts. (1) The proposed representation is flexible enough to describe motion as accurately as the output produced by the best motion algorithms developed by computer vision researchers. (2) The proposed representation is much more compact than the representation of motion in MPEG-1.

Citation Download Citation

Haim Schweitzer and Yanjun Zhang "Encoding motion and approximate segmentation in a slicing floorplan tree structure", Proc. SPIE 2419, Digital Video Compression: Algorithms and Technologies 1995, (17 April 1995); https://doi.org/10.1117/12.206364

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