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Video Skimming and Characterization through the Combination of Image and Language Understanding TechniquesDigital 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.
Document ID
19980017374
Acquisition Source
Headquarters
Document Type
Technical Memorandum (TM)
Authors
Smith, Michael A. (Carnegie-Mellon Univ. Pittsburgh, PA United States)
Kanade, Takeo (Carnegie-Mellon Univ. Pittsburgh, PA United States)
Date Acquired
September 6, 2013
Publication Date
February 3, 1997
Subject Category
Communications And Radar
Report/Patent Number
AD-A333857
NAS 1.15:207216
NASA/TM-97-207216
CMU-CS-97-111
Funding Number(s)
CONTRACT_GRANT: NSF IRI-94-11299
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Keywords
IMAGE PROCESSING
VIDEO SIGNALS

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