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Survey Of Existing Video Indexing Technique: An Overview

D. Saravanan*, S. Srinivasan**

* Research Scholar, Sathybama University, Chennai.

** Professor & Head, Department of CSE, Anna University Regional Office Madurai, Madurai.

Periodicity:September - November'2012
DOI : https://doi.org/10.26634/jit.1.4.2013

Abstract

Data Mining is a process of knowledge evaluation from large data sets. It is a very challenging filed of research in the recent past years. Extraction of knowledge is a critical issue for the researchers[1]. Many data mining tools currently fail to operate in extracting the needed information from the collection of data set it requires extra steps for extracting, and analyzing the data. Based on the type of extraction video is the particular media contains motion, sound, image, text and color information. Among these extracting the needed information is a challenging task. The usage of the image has been increasing day by day due to various factors. They are used not only for expressing knowledge and information but also used for the purpose of analyzing. For this purpose effective retrieval video dates are indexed. Here some of the existing indexing techniques are discussed. Based on the surveillance there may be a need for improvement in video indexing.

Keywords

Data Mining, Video Data, Knowledge discovery, Image data, video indexing, Knowledge extraction

How to Cite this Article?

Saravanan, D., and Srinivasan, S. (2012). Survey Of Existing Video Indexing Technique: An Overview. i-manager’s Journal on Information Technology, 1(4), 13-18. https://doi.org/10.26634/jit.1.4.2013

References

[1]. D. Saravanan, & S. Srinivasan, (2010, December). Indexing and Accessing Video Frames by Histogram Approach. Paper published at the International Conference on RSTSCC, Chennai. Retrieved from http: toc.proceedings.com/10727webtoc.pdf.

[2]. D. Saravanan, & S. Srinivasan, (2011, April). A Study of Hierarchical Clustering Algorithms suitable for video data mining. Paper published at the 2nd National Conference on Imaging Computing object and mining ICOM-11, Trichy.

[3]. D. Saravanan, & S. Srinivasan, (2011, May). Video Data Information Retrieval Using Data Mining Concepts. Paper published at the national Conference on Computer and Communication Technology NCCCT-11, Chennai.

[4]. Xingquan Zhu, Member, IEEE, Xindong Wu, Senior Member, IEEE, Ahmed K. Elmagarmid, (2005, May). Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective. Paper published at the IEEE Transactions on Knowledge and Data Engineering, Vol. 17 (5). Retrieved from http: www.cs.purdue.edu/ homes/ake/pub/TKDE-0201-1003-1.pdf.

[5]. Dian W. Tjondronegoro (2005, May). Content-based Video Indexing for Sports Applications using Integrated Multi-Modal Approach. Doctor of Philosophy. Retrieved from http: www.researchgate.net/.../ 27464455_ PhD_Thesis_ Content-based Video Indexing for sports Applications using Integrated Multi-Model Approach.

[6]. Michael Fleischman, Deb Roy (2007). Unsupervised Content-Based Indexing of Sports. Retrieved from http: www.mit.edu/~mbf/MIR-07.pdf.

[7]. F. Idris, & S. Panchanathan (1997). Image and video indexing using vector. Retrieved from http:// www.springerlink.com/index/88y5ruvuakk6xm08.pdf.

[8]. Mark Baillie (2004). A Study of Audio-based Sports Video Indexing Techniques. Retrieved from http: citeseerx.ist.psu.edu/viewdoc/download?doi...1... - United States.

[9]. Arun Hampapur (1999). Semantic Video Indexing: Approach and Issues. Retrieved from http: researcher. watson.ibm.com/researcher/files/us-smiyaza/arunsem. pdf.

[10]. Vikrant Dobla, David doermann. Compressed domain video indexing techniques using DCT and motion vector information in MPEG video.

[11]. Xingquan Zhua, Walid G. Arefa, Jianping Fanb, Ann C. Catlina, Ahmed K. Elmagarmidc. Medical Video Mining for Efficient Database Indexing, Management and Access. Retrieved from http: www.cs.purdue.edu/ vdbms/papers/icde03.pdf - United States.

[12]. Chabane Djeraba & Moncef Gabbouj & Patrick Bouthemy. Multimedia indexing and retrieval: ever great challenges. Retrieved from http://www. cs.tut.fi/ ~publications/MTA_Editorial_09_2006 .pdf.

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