NDLI: Video shot boundary detection based on candidate segment selection and transition pattern analysis

Content Provider	IEEE Xplore Digital Library
Author	Tippaya, S. Sitjongsataporn, S. Tan, T. Chamnongthai, K. Khan, M.
Copyright Year	2015
Description	Author affiliation: Dept. of Electron. Eng., Mahanakorn Univ. of Technol., Bangkok, Thailand (Sitjongsataporn, S.) \|\| Dept. of Electron. & Telecommun. Eng., King Mongkut's Univ. of Technol. Thonburi, Bangkok, Thailand (Chamnongthai, K.) \|\| Dept. of Mech. Eng., Curtin Univ., Perth, WA, Australia (Tippaya, S.; Tan, T.; Khan, M.)
Abstract	Video shot boundary detection or shot segmentation is an integral part of semantic video analysis. The objective of this process is to automatically detect the boundary region in video that further segment the video into meaningful shot, scene and so on. Video frame feature representation therefore plays an important role in the process where it directly affects the overall performance of the system. The transition points between meaningful scenes can be emphasised by the extracted features. In this paper, a combination of global and local feature descriptors is implemented to represent the temporal characteristic in video. Motivated by computational efficiency and practical implementation, a video shot boundary detection scheme using adaptive thresholding is proposed. Candidate segment selection and transition pattern analysis are implemented by the dissimilarity score between video frames. The performance evaluation is constructed on a golf video dataset using the precision and recall performance measures.
Starting Page	1025
Ending Page	1029
File Size	143160
Page Count	5
File Format	PDF
ISSN	21653577
e-ISBN	9781479980581
DOI	10.1109/ICDSP.2015.7252033
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-21
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Histograms Color Cameras Correlation Semantics Image color analysis golf video analysis Video shot boundary detection speeded up robust features adaptive thresholding
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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