A Web-based Medical Video Indexing Environment

被引：3

作者：

Mendi, Engin ^{[1
]}

Bayrak, Coskun ^{[1
]}

机构：

[1] Univ Arkansas Little Rock, Comp Sci Dept, Little Rock, AR 72204 USA

来源：

2010 IEEE FOURTH INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC 2010) | 2010年

关键词：

Shot boundary detection; video indexing; SMIL; Timed Text XML;

D O I：

10.1109/ICSC.2010.35

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Video indexing is an important process in video content management systems. In this paper, we extend our previous work by presenting a new web-based indexing environment for medical videos. The proposed system provides two ways to describe a video structure: Element Generation and Description Display for Browsing. After shot boundaries are detected, HTML documents combined with SMIL (Synchronized Multimedia Integration Language) elements are generated. SMIL timing and media synchronization elements and attributes manage the location of shot boundaries and allow the users to browse and preview each shot within the video. The system enables browsing the entire content of the video displaying video descriptions for each segmented shot using an embedded media player and Timed Text XML. Through the use of the Timed Text XML file, textual information of the content in every shot is displayed on the media player.

引用

页码：172 / 175

页数：4

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