A hamming embedding kernel with informative bag-of-visual words for video semantic indexing
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...
Saved in:
Main Authors: | WANG, Feng, ZHAO, Wen-Lei, NGO, Chong-wah, MERIALDO, Bernard |
---|---|
格式: | text |
語言: | English |
出版: |
Institutional Knowledge at Singapore Management University
2014
|
主題: | |
在線閱讀: | https://ink.library.smu.edu.sg/sis_research/6312 https://ink.library.smu.edu.sg/context/sis_research/article/7315/viewcontent/tomccap14_fwang.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Singapore Management University |
語言: | English |
相似書籍
-
Enhancing Bag-of-Words Models by Efficient Semantics-Preserving Metric Learning
由: WU, Lei, et al.
出版: (2011) -
Bag-of-visual-words expansion using visual relatedness for video indexing
由: JIANG, Yu-Gang, et al.
出版: (2008) -
Beyond Bag-of-Words: combining generative and discriminative models for scene categorization
由: Li, Zhen, et al.
出版: (2016) -
Semantics-preserving bag-of-words models for efficient image annotation
由: WU, Lei, et al.
出版: (2009) -
Towards optimal bag-of-features for object categorization and semantic video retrieval
由: JIANG, Yu-Gang, et al.
出版: (2007)