文章基本信息

标题：Challenges and Opportunities for Categorizing Big Video Data on the Web
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作者：Mr. Pramod B. Deshmukh ; Miss. Snehal Mundada ; Miss. Vishakha Metre 等
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2016
卷号：42
期号：1
页码：7-10
DOI：10.14445/22312803/IJCTT-V42P102
出版社：Seventh Sense Research Group
摘要：Video categorization is a very important problem with many applications like content search and organization, smart contentaware advertising, opensource intelligence analysis, etc. This paper discusses selected representative research progresses in categorizing big video data, with a focus on the usergenerated videos on the Internet. We identify two major challenges in this vibrant field and envision promising directions that deserve indepth future investigations. The discussions in this paper are brief but hopefully useful for quickly understanding the current progress and knowing where we should go in the next couple of years.
关键词：Big Data; intelligence analysis; Convolutional Neural Network; Support VectorMachines; Histogram of Orientated Gradients.