Fast and adaptive semantic object extraction from video

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

doi:10.1117/12.382977

19 April 2000 Fast and adaptive semantic object extraction from video

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

Proceedings Volume 3974, Image and Video Communications and Processing 2000; (2000) https://doi.org/10.1117/12.382977
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

Semantic video object identification and extraction is an important component for content-based multimedia applications such as editing, coding and retrieval. A smart interactive video object generation (SIVOG) system based on adaptive processing and semantic user interaction was developed in our previous work. SIVOG is further improved to efficiently process video content based on semantic object's spatial and temporal characteristic in this work. The enhanced SIVOG system adaptively selects processing regions based on the object shape. Temporal skipping and interpolation procedures are applied to objects that have a slow motion activity. This system can extract simple semantic objects in real time with pixel-wise accuracy. Fast, accurate and consistent results are obtained in the experiment when the system is evaluated with several MPEG-4 test sequences.

Citation Download Citation

Ju Guo, JongWon Kim, and C.-C. Jay Kuo "Fast and adaptive semantic object extraction from video", Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); https://doi.org/10.1117/12.382977

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