A Review: Video Event Classification Based on Image Search Engine

  Monika B. Khakhariya,  Prof. Tosal M. Bhalodia,  Prof. Krupa G. Chotai

As audiovisual aid structure growth there's mammoth quantity of videos that area unit untagged and if some person have gb’s of videos except for naming them he or she has got to read that videos and so provide correct naming. Thus for that the sphere of annotation has been introduced. During this paper we've mentioned all the techniques and trends that area unit within the field of videos annotation. Video has innumerable content in it like visual options, foreground options, background options, objects audio feature and lots of a lot of, from that videos extracting helpful content for matching with the labeled pictures has difficult job. Thus for that we've studied varied papers and from that we are able to propose a strong algorithmic program for any variety of videos like movies, cartoons, news, sports, parties etc.

Keywords- Video annotation, Joint Group Weighting Learning (JGWL), Near-duplicate segment

Unique Identification Number - IJEDR1604071
Page Number(s) - 487-491
Pubished in - Volume 4 | Issue 4 | November 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Monika B. Khakhariya,  Prof. Tosal M. Bhalodia,  Prof. Krupa G. Chotai,   "A Review: Video Event Classification Based on Image Search Engine", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 4, pp.487-491, November 2016, Available at :http://www.ijedr.org/papers/IJEDR1604071.pdf