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

• Main Authors: HOI, Steven C. H., LYU, Michael R.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2007
• Subjects: video retrieval; multimodal fusion; multilevel ranking; semi-supervised learning; performance evaluation; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/3944; https://ink.library.smu.edu.sg/context/sis_research/article/4946/viewcontent/ICASSP07_MMML.pdf
• Institution: Singapore Management University

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...