A hamming embedding kernel with informative bag-of-visual words for video semantic indexing

• Main Authors: WANG, Feng, ZHAO, Wen-Lei, NGO, Chong-wah, MERIALDO, Bernard
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Algorithms; Experimentation; Performance; Bag-of-visual word; Hamming embedding; kernel optimization; video semantic indexing; Artificial Intelligence and Robotics; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/6312; https://ink.library.smu.edu.sg/context/sis_research/article/7315/viewcontent/tomccap14_fwang.pdf
• Institution: Singapore Management University

In this article, we propose a novel Hamming embedding kernel with informative bag-of-visual words to address two main problems existing in traditional BoW approaches for video semantic indexing. First, Hamming embedding is employed to alleviate the information loss caused by SIFT quantization. The H...