Accession Number : ADA333857
Title : Video Skimming and Characterization through the Combination of Image and Language Understanding Techniques
Corporate Author : CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE
Personal Author(s) : Smith, Michael A. ; Kanade, Takeo
PDF Url : ADA333857
Report Date : 03 FEB 1997
Pagination or Media Count : 14
Abstract : Digital video is rapidly becoming important for education, entertainment, and a host of multimedia applications. With the size of the video collections growing to thousands of hours, technology is needed to effectively browse segments in a short time without losing the content of the video. We propose a method to extract the significant audio and video information and create a "skim" video which represents a very short synopsis of the original. The goal of this work is to show the utility of integrating language and image understanding techniques for video skimming by extraction of significant information, such as specific objects, audio keywords and relevant video structure. The resulting skim video is much shorter, where compaction is as high as 20:1, and yet retains the essential content of the original segment.
Descriptors : *IMAGE PROCESSING, *VIDEO SIGNALS, ALGORITHMS, INFORMATION RETRIEVAL, PATTERN RECOGNITION, DATA COMPRESSION, TEXT PROCESSING.
Subject Categories : Cybernetics
Distribution Statement : APPROVED FOR PUBLIC RELEASE