Towards optimal bag-of-features for object categorization and semantic video retrieval

Towards optimal bag-of-features for object categorization and semantic video retrieval

Bag-of-features (BoF) deriving from local keypoints has recently appeared promising for object and scene classification. Whether BoF can naturally survive the challenges such as reliability and scalability of visual classification, nevertheless, remains uncertain due to various implementation choice...

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Bibliographic Details
Main Authors: JIANG, Yu-Gang, NGO, Chong-wah, YANG, Jun
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2007
Subjects:
Bag-of-features
Kernel
Keypoint detector
Object categorization
Semantic video retrieval
Soft-weighting
Data Storage Systems
Graphics and Human Computer Interfaces
Online Access:https://ink.library.smu.edu.sg/sis_research/6528
https://ink.library.smu.edu.sg/context/sis_research/article/7531/viewcontent/1282280.1282352.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/6528
https://ink.library.smu.edu.sg/context/sis_research/article/7531/viewcontent/1282280.1282352.pdf

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