A multimodal and multilevel ranking framework for content-based video retrieval

One critical task in content-based video retrieval is to rank search results with combinations of multimodal resources effectively. This paper proposes a novel multimodal and multilevel ranking framework for content-based video retrieval. The main idea of our approach is to represent videos by graph...

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Bibliographic Details
Main Authors: HOI, Steven C. H., LYU, Michael R.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2007
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/4020
https://ink.library.smu.edu.sg/context/sis_research/article/5022/viewcontent/ICASSP07_MMML.pdf
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Institution: Singapore Management University
Language: English