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Proceedings Paper

Interactive adaptive system for semantic object extraction from image sequences
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Paper Abstract

A new smart interactive video object generation (SIVOG) system targeting at general semantic video object segmentation at pixel-wise accuracy is proposed. SIVOG identifies and extracts the semantic video object from image sequence with user interaction. The system consists of several basic components: semantic level user interaction, smart-processing kernel, object tracking, boundary update and error correction. It allows user to enter the semantic information with the least amount of mouse clicking and movement. Then, the user-input semantic information will be analyzed and interpreted in terms of low-lever features. Finally, the user can correct erroneous regions in the segmentation process. The proposed system is evaluated for several typical MPEG-4 test sequences.

Paper Details

Date Published: 18 October 1999
PDF: 12 pages
Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); doi: 10.1117/12.365871
Show Author Affiliations
Ju Guo, Univ. of Southern California (United States)
JongWon Kim, Univ. of Southern California (South Korea)
C.-C. Jay Kuo, Univ. of Southern California (United States)

Published in SPIE Proceedings Vol. 3808:
Applications of Digital Image Processing XXII
Andrew G. Tescher, Editor(s)

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