NDLI: Automatic collection of Web video shots corresponding to specific actions using Web images

Content Provider	IEEE Xplore Digital Library
Author	Do Hang Nga Yanai, K.
Copyright Year	2012
Description	Author affiliation: Department of Informatics, The University of Electro-Communications, Tokyo 1-5-1 Chogugaoka, Chofu-shi Tokyo 182-8585 Japan (Do Hang Nga; Yanai, K.)
Abstract	In this paper, we apply Web images to the problem of automatically extracting video shots corresponding to specific actions from Web videos. Our framework modifies the unsupervised method on automatic collecting of Web video shots corresponding to the given actions which we proposed last year [9]. For each action, following that work, we first exploit tag relevance to gather 200 most relevant videos of the given action and segment each video into several video shots. Shots are then converted into bags of spatio-temporal features and ranked by the VisualRank method. We refine the approach by introducing the use of Web action images into shot ranking step. We select images by applying Pose-lets [2] to detect human in the case of human actions. We test our framework on 28 human action categories whose precision values were 20% or below and 8 non-human action categories whose precision values were less than 15% in [9]. The results show that our model can improve the precision approximately 6% over 28 human action categories and 16% over 8 non-human action categories.
Starting Page	15
Ending Page	20
File Size	391263
Page Count	6
File Format	PDF
ISBN	9781467316118
ISSN	21607508
e-ISBN	9781467316125
e-ISBN	9781467316101
DOI	10.1109/CVPRW.2012.6239255
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Visualization Humans Feature extraction Vectors Noise measurement YouTube
Content Type	Text
Resource Type	Article

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
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