Research on the Content-Based Video Indexing for Smart Grid

Abstract:

Data has become the fundamental resource by the emerging new services such as cloud computing, internet of things and social network. In the electric power applications, the video data mining plays an important role in the intelligent data analysis. With growth of video data in such an amazing speed, the information retrieval is becoming more and more important. This paper focuses on the analysis of the content-based video retrieval and proposes the design of a uniformed search engine system. The system is oriented to the retrieval of both the unstructured video contents and structured tags, which helps to achieve the integration of the heterogeneity data resources. In this paper, a retrieval framework is discussed and several problems are addressed.

• Periodical: Advanced Materials Research (Volumes 945-949)
• Pages: 3391-3395
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.945-949.3391
• Online since: June 2014
• Authors: Ming Liang Yan
• Keywords: Big Data, Content-Based Video Retrieval, Information Retrieval, Smart Grid (SG)

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