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Video Content Retrieval using Image Feature Selection.
Author(s):
1. D Saravanan: Faculty of Operations & IT, IFHE University, IBS Hyderabad 501 203. Telangana
Abstract:
Multimedia is any combination of content written in text, drawing, and sound, moving picture, delivered to you by computer or other electronic or digitally manipulated means. Through the rapid growth of multimedia technology, multimedia content can be created, shared and distributed easily. The amount of available digital resources is continuously increasing, promoted by a growing interest of users and by the development of new technology for the ubiquitous enjoyment of digital resources. The acquisition and storage of video data is an easy task but retrieval of information from video data is challenging .The general method of representing each video segment is shot that is a sequence of key frame(s) where those frames contained the 'meaningful' frames also the frame contained the important contents of the shot. The key frame(s) based shot method is specifically assisted for searching the video content as clients provided image query/search where an image will be matched with the indexed key frames with assist of resemblance distance. As a result, the key frames selection is most significant and several methods are used to automate the process. This paper proposes a new technique for key frame selection. The proposed method show significant ally good and the experiments prove the above statement.
Page(s): 215-219
DOI: DOI not available
Published: Journal: Pakistan Journal of Biotechnology, Volume: 13, Issue: 3, Year: 2016
Keywords:
Keywords are not available for this article.
References:
[1] Saravanan , D., 2015.,International journal of Applied Environmental Sciences 10 1771 -1783
[2] Saravanan , D., 2015.Text information Reterival using Data mining Clustering Technique,International Journal of Applied Engg. Research 10 7865 -7873
[3] Yuan , J.,Y.Wu and M. Yang, 2007.Discovery of Collection patterns: From visual words to visual pharasess In: Conference on computer vision and pattern recognition CVPR (, -
[4] Shotton , J.,A.Fitzgibbon,M.Cook,T.Sharp,M.Finocchio,R.Moore,A.Kipman,A.Blake,Pattern Recognition CVPR, 2011.Real-time human pose recognition in parts from single depth images,in: Conference on Computer Vision -
[5] MichaelT.,Goodrich, 2007.Probabilistic Packet Marking for large scale IP Tracback, 1 10 -
[6] Quack , T.,V.Ferrari,L.V.Gool, 2006.Video mining with frequent itemset configurations, in: Confere nce on Image and Video Retrieval CIVR, -
[7] .Saravanan,D., 2016.Performance Anlaysis of video data image using Clustering Technique,Indian Journal of Science and Technology 9 10 -6
[8] Saravanan , D.,Dr, 2012.Video image retrieval using data mining Techniques,Journal of computer Applications 1 39 -42
[9] Saravanan , D., 2016.Video substance extraction using image future population based techniques,ARPN Journal of Engg. and Applied Science 11 7041 -7045
[10] Saravanan , D.,Dr,Yang , Feiping Nie, Dong Xu, Jiebo Luo, Yueting Zhuang, Yunhe,Pan, 2012.A multimedia retrieval framework based on semi-supervised ranking and relevance feedback,IEEE Trans. Pattern Anal. Mach. Intell 34 723 -742
[11] Saravanan , D., 2015.Various Assorted Cluster Performance Examination using Vide Data Mining Technique,Global Journal of Pure and Applied Mathematics 11 4457 -4467
[12] Saravanan , D.,V.Somasundaram, 2014.Matrix Based Sequential Indexing Technique for Video Data Mining,Journal of Theoretical and Applied Information Technology 67 725 -731
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