A Kind of Video Abstracting System Base on Hadoop

Abstract:

Digital video, as a kind of large-scale resource, plays an important role in internet’s multimedia resources. Resource consuming is one of the major issues for extracting data from digital video. However, if it is possible to know the outline of a video by browsing several pictures describing it, that will save us a huge amount of time. Up till now, it is not common for video processing system using cloud environment (except video transcoding system). This demo shows an extensible video processing system based on Apache Hadoop cloud environment. Our system utilizes FFmpeg video encoder and OpenCV graphic processor. The basic process of building a video abstracting system includes segmenting scene, followed by exacting representative key frame. The source files of that video stores in HDFS, while the information of segmentation and key frame stores in HBase. In this way, fast searching can be achieved.

• Periodical: Applied Mechanics and Materials (Volumes 687-691)
• Pages: 2186-2191
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.687-691.2186
• Online since: November 2014
• Authors: Hong Yi Li*, Cheng Yang, Xiao Yu Wu, Ya Ning Wu
• Keywords: FFmpeg, Hadoop, HBase, OpenCV, Video-Abstract

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