NDLI: A template-based baseball video scene classification using efficient playfield segmentation

Content Provider	Springer Nature Link
Author	Kuo, Chung Ming Chang, Wei Han Fang, Min Yuan Lin, Ching Hsuan
Copyright Year	2010
Abstract	In this paper, we present an effective and efficient framework for baseball video scene classification. The results of scene classification can be able to provide the ground for baseball video abstraction and high-level event extraction. In general, most conventional approaches are shot-based, which shot change detection and key-frame extraction are necessary prerequisite procedures. On the contrary, we propose a frame-based approach. In our scene classification framework, an efficient playfield segmentation technique is proposed, and then the reduced field maps are utilized as scene templates. Because the shot change detection and the key-frame extraction are not required in proposed method, the new framework is very simple and efficient. The experimental results have demonstrated that the effectiveness of our proposed framework for baseball videos scene classification, and it can be easily extended the template-based approach to other kinds of sports videos.
Starting Page	399
Ending Page	422
Page Count	24
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	55
Issue Number	3
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2010-06-29
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Scene classification Baseball video Key-frame Playfield segmentation Data Structures, Cryptology and Information Theory Computer Communication Networks Special Purpose and Application-Based Systems Multimedia Information Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Video key-frame extraction for smart phones

Video scene segmentation and semantic representation using a novel scheme

Object segmentation and key-pose based summarization for motion video

Unsupervised, efficient and scalable key-frame selection for automatic summarization of surveillance videos

Scene pathfinder: unsupervised clustering techniques for movie scenes extraction

A bag-of-regions representation for video classification

Scene Determination Based on Video and Audio Features

Synchronization-Sensitive Frame Estimation: Video Quality Enhancement

Wildlife video key-frame extraction based on novelty detection in semantic context

A template-based baseball video scene classification using efficient playfield segmentation

Similar Documents

Video key-frame extraction for smart phones

Video scene segmentation and semantic representation using a novel scheme

Object segmentation and key-pose based summarization for motion video

Unsupervised, efficient and scalable key-frame selection for automatic summarization of surveillance videos

Scene pathfinder: unsupervised clustering techniques for movie scenes extraction

A bag-of-regions representation for video classification

Scene Determination Based on Video and Audio Features

Synchronization-Sensitive Frame Estimation: Video Quality Enhancement

Wildlife video key-frame extraction based on novelty detection in semantic context

A template-based baseball video scene classification using efficient playfield segmentation