Simulation of Fast Retrieval Method for Large-Scale Image Database

Abstract:

The traditional database information retrieval method is achieved by retrieving simple corresponding association of the attributes, which has the necessary requirement that image only have a single characteristic, with increasing complexity of image, it is difficult to process further feature extraction for the image, resulting in great increase of time consumed by large-scale image database retrieval. A fast retrieval method for large-scale image databases is proposed. Texture features are extracted in the database to support retrieval in database. Constraints matching method is introduced, in large-scale image database, referring to the texture features of image in the database to complete the target retrieval. The experimental results show that the proposed algorithm applied in the large-scale image database retrieval, augments retrieval speed, thereby improves the performance of large-scale image database.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 4959-4962
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.4959
• Online since: May 2014
• Authors: Sai Qiao*
• Keywords: Image Database, Quick Retrieval, Texture Features

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