Fast and adaptive semantic object extraction from video

被引：0
|
作者：
Guo, J [1 ]
Kim, J [1 ]
Kuo, CCJ [1 ]
机构：
[1] Univ So Calif, Integrated Media Syst Ctr, Los Angeles, CA 90089 USA
来源：
IMAGE AND VIDEO COMMUNICATIONS AND PROCESSING 2000 | 2000年 / 3974卷
关键词：
D O I：
10.1117/12.382977
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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 characteristics 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.
引用
收藏
页码：440 / 451
页数：4
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