Share Email Print

Proceedings Paper

Encoding motion and approximate segmentation in a slicing floorplan tree structure
Author(s): Haim Schweitzer; Yanjun Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 17 April 1995
PDF: 11 pages
Proc. SPIE 2419, Digital Video Compression: Algorithms and Technologies 1995, (17 April 1995); doi: 10.1117/12.206364
Show Author Affiliations
Haim Schweitzer, Univ. of Texas/Dallas (United States)
Yanjun Zhang, Southern Methodist Univ. (United States)

Published in SPIE Proceedings Vol. 2419:
Digital Video Compression: Algorithms and Technologies 1995
Arturo A. Rodriguez; Robert J. Safranek; Edward J. Delp, Editor(s)

© SPIE. Terms of Use
Back to Top