Interactive adaptive system for semantic object extraction from image sequences

Ju Guo; JongWon Kim; C.-C. Jay Kuo

doi:10.1117/12.365871

18 October 1999 Interactive adaptive system for semantic object extraction from image sequences

Ju Guo, JongWon Kim, C.-C. Jay Kuo

Proceedings Volume 3808, Applications of Digital Image Processing XXII; (1999) https://doi.org/10.1117/12.365871
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

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.

Citation Download Citation

Ju Guo, JongWon Kim, and C.-C. Jay Kuo "Interactive adaptive system for semantic object extraction from image sequences", Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); https://doi.org/10.1117/12.365871

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