NDLI: Utilizing Video Ontology for Fast and Accurate Query-by-Example Retrieval

Content Provider	IEEE Xplore Digital Library
Author	Shirahama, K. Uehara, K.
Copyright Year	2011
Abstract	In this paper, we develop a video retrieval method based on Query-By-Example (QBE) approach where example shots are provided to represent a query, and used to construct a retrieval model. One drawback of QBE is that a user can only provide a small number of example shots, while each shot is generally represented by a high-dimensional feature. This causes that the retrieval model tends to be over fit to feature dimensions which are specific to example shots, but are ineffective for retrieving relevant shots. As a result, many clearly irrelevant shots are retrieved. To overcome this, we construct a {\it video ontology} as knowledge base for QBE. Our video ontology is used to select concepts related to a query. Then, irrelevant shots are filtered by referring to recognition results of objects corresponding to selected concepts. Also, counter-example shots are not provided in QBE, although they are useful for constructing an accurate retrieval model. We introduce a method which selects counter-example shots among shots without user supervision. In this method, our video ontology is used to exclude shots relevant to the query from candidates of counter-example shots. Specifically, we filter shots where object recognition results for concepts related to the query are similar to those of example shots. The effectiveness of our video ontology is tested on TRECVID 2009 video data.
Starting Page	395
Ending Page	402
File Size	917517
Page Count	8
File Format	PDF
ISBN	9781457716485
DOI	10.1109/ICSC.2011.88
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Semantics Windows Object recognition Vehicles Meteorology
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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