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Survey Paper | Computer Science Engineering | Volume 6 Issue 6, June 2017 | Pages: 1288 - 1292 | India
Textual Description for Annotating Videos
Abstract: In the Present days, large number of multimedia significant resources creates the browsing, retrieval and task. In this survey different types of methods are using, to faster the browsing of large video storage and provides sufficient contents to access. The Video annotation initially cuts the detected video sequence, where the succeeding frames are extracted to show an each shot or frames with a huge difference. The extraction of key frames that shows in an each image is compressing the few images by using standard technologies like HOG, fuzzy clustering and Genetic algorithm regarding the textual description of the scene. Video Annotation improves the sufficient searching and retrieving of the video components. They are inspired and are sometimes directly taken from image techniques. Thus several kinds of images are easily applied to video annotation.
Keywords: HOG, Fuzzy clustering, GA, fuzzy clustering, video annotating
How to Cite?: Shama P S, Pattan Prakash, "Textual Description for Annotating Videos", Volume 6 Issue 6, June 2017, International Journal of Science and Research (IJSR), Pages: 1288-1292, https://www.ijsr.net/getabstract.php?paperid=ART20174428, DOI: https://dx.doi.org/10.21275/ART20174428