Title :
Motion video annotation and analysis: an overview
Author :
Sawhney, Harpreet S.
Author_Institution :
Machine Vision Group, IBM Almaden Res. Center, San Jose, CA, USA
Abstract :
Digital storage of images and videos requires staggering amounts of storage. A mere hour long digitized video can occupy a staggering 30GB of storage. With the increasing dependence of a variety of applications on digital storage, the need for automatic and semiautomatic annotation and analysis tools for intelligent video data indexing and manipulation will be strongly felt. Manual annotation of this data will be practically infeasible and insipid. The paper presents highlights of some of the important problems to be solved for automating the process. Computer vision techniques with a human-in-the-loop approach can provide a powerful workbench of algorithms and techniques for the task
Keywords :
computer vision; image representation; image sequences; indexing; information retrieval; video signal processing; visual databases; algorithms; analysis tools; computer vision techniques; digital storage; human-in-the-loop approach; images; intelligent video data indexing; motion video annotation; videos; Computer vision; Explosions; Image analysis; Image motion analysis; Image retrieval; Image storage; Indexing; Information retrieval; Layout; Machine vision; Motion analysis; Signal processing algorithms; Storage automation;
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-4120-7
DOI :
10.1109/ACSSC.1993.342475
