Advanced Search
CS Search Google Search
Subscribers, please login

Published Articles >> Table of Contents >> Abstract

26th Annual International Computer Software and Applications Conference   p. 173
XVIP: An XML-Based Video Information Processing System

Full Article Text: Download PDF of full textBuy this articleGet full text from IEEE Xplore

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CMPSAC.2002.1044549
Send link to a friend

Abstract
We describe XVIP, an XML-based video information processing system, which extracts information from video and stores the information in a multimedia digital video library. XVIP encapsulates a number of extraction techniques, including scene change detection, video optical character detection and recognition, and geometric coding. It also provides a seamless approach to scale up the contents created in and delivered by the target multimedia digital video library. Furthermore, XVIP can handle multilingual contents. XVIP is based on a multi-modal concept, which treats each content extraction component as a modality, and users can easily add new modalities into XVIP. The information extracted from the video is then stored in a flexible, scalable and reusable way based on a generic XML structure, providing a convenient mechanism for data representation on Web browsers. Also, the content in the XML file can be used to perform knowledge enrichment on top of the primary information extracted from the video. This enriched data representation helps users search for multimedia video content more efficiently.
Additional Information
Index Terms- Multimedia systems, Multi-modal data representation, XML, Internet and Web-based systems

Citation:  C. H. Ngai, P. W. Chan, Edward Yau, Michael R. Lyu, "XVIP: An XML-Based Video Information Processing System," compsac, p. 173,  26th Annual International Computer Software and Applications Conference,  2002

Similar Articles

Abstract Contents
Abstract
Index Terms
Citation




Free access to

  • Abstracts
  • Selected PDFs

Electronic subscribers login to:

  • Access HTML/PDFs of full text articles

Subscription information

Get a Web account

PDFs require Adobe Acrobat Reader.

Peer Review Notice

Give us Feedback