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HIERARCHICAL SUMMARIZATION OF VIDEO DATA

LI, WEI
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1186941444

Abstract Details

2007, MS, University of Cincinnati, Engineering : Computer Science.
Digital video content is appearing in many new applications. There is a need for efficient video indexing, quick browsing, and easy retrieval of video content of interest in video clips. In this thesis, we analyze video structure and use a hierarchical summarization strategy to get a multilevel video summary. Keyframes from video are extracted from each video shot by comparing the similarity between frames. Using an affinity matrix which lists the similarities of every pairs of keyframes, similar keyframes are clustered and adjacent shots within a specified distance are merged into groups. These groups are organized into scenes that are independent story units. From scenes representative frames are selected to construct a hierarchy summary.
Dr. Chia-Yung Han (Advisor)
65 p.
Computer Science
Video data processing; Video summarization; Video content structure; video indexing

Recommended Citations

Citations

  • LI, W. (2007). HIERARCHICAL SUMMARIZATION OF VIDEO DATA [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1186941444

    APA Style (7th edition)

  • LI, WEI. HIERARCHICAL SUMMARIZATION OF VIDEO DATA. 2007. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1186941444.

    MLA Style (8th edition)

  • LI, WEI. "HIERARCHICAL SUMMARIZATION OF VIDEO DATA." Master's thesis, University of Cincinnati, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1186941444

    Chicago Manual of Style (17th edition)

ucin1186941444
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© 2007, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.