Mining User Queries with Markov Chain: Application to Content Based Image Retrieval System

Provided by: International Journal of P2P Network Trends and Technology(IJPTT)
Topic: Big Data
Format: PDF
The ability to search through images based on their content based image retrieval, a technique which uses visual contents to search images from large scale image databases according to users' interests. Markov chain models are used to describe the temporal evolution of low-level visual descriptors extracted from the semantic indexing model. Propose a semantic indexing algorithm which uses both text and image retrieval system. The entire user queries selected by randomly. An image retrieval system is a computer system for browsing, searching and retrieving images from a large image database.

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