Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 1, January 2015
Survey on Nearest Duplicate Video Retrieval
Shital Bhirud, P. S. Desai
Creating video recordings of events such as lectures or meetings is increasingly less expensive and easy. Thus the Video data is increasing in a great deal on World Wide Web (www) and so thus the need of more efficient and correctly functioning method of video indexing, grouping and video retrieval in WWW or Large video archives is necessary. Similarly a method is needed for the Near-Duplicate Video Retrieval (NVDR). There are many applications for this technique, in copyright protection, online video monitoring, video tagging etc. Though, lot of techniques has been developed for NDVR over the past few years. Many of these techniques use the single feature for video representation for NVDR. Clearly using only one feature is not a best choice for any technique. Similarly, previous techniques were focused on the accuracy of the results for the NDVR. But no technique was successfully managed large scale video datasets. Thus, these techniques were having less usage in real world applications.
Keywords: Near-duplicate videos NDVs, video retrieval, optimization, video indexing, temporal correlation, video copy detection
Edition: Volume 4 Issue 1, January 2015
Pages: 582 - 584
How to Cite this Article?
Shital Bhirud, P. S. Desai, "Survey on Nearest Duplicate Video Retrieval", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB15171, Volume 4 Issue 1, January 2015, 582 - 584
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