视觉分类和标记视频库

2016 6th International Conference - Cloud System and Big Data Engineering (Confluence) Pub Date : 1900-01-01 DOI:10.1109/CONFLUENCE.2016.7508165

Prashast Sahay, Rishi Kumar, Ijya Chugh, Ridhima Gupta

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引用次数: 2

摘要

数字媒体的指数级增长使得我们可以在社交视频分享平台上看到大量的视频。这些视频通常被用户松散地标记，使得视频索引和检索方法效率低下。对这些视频进行分类是一个紧迫的问题。在本文中，我们提出了一种创新的视频分类和标记方法。本研究首先处理视频中的人脸识别，然后是自动标记视频。这种新颖的基于内容的自动标注算法将大大减少人力，提高视频搜索效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Visually classified & tagged video repository

The exponential growth of Digital media has made large number of videos available to us on social video sharing platforms. These videos are generally loosely tagged by users making video indexing and retrieval methods inefficient. A pressing problem has cropped up of categorizing theses videos. In this paper we present/propose an innovative method for classifying and tagging videos. This study initially deals with face recognition in videos and then automation of tagging them. This novel content based automatic tagging algorithm will dramatically reduce human effort and increase video searching efficiency.

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来源期刊

2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)

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