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Neural network based search engine for the query of multimedia content

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2 Author(s)
Manjunath Ramachandra ; Philips innovation campus, Bangalore, India ; Narendranatha Udupa

The advancement of home network has put more of multimedia content on the network creating a demand for the fast browsers over the portable CE devices. It calls for more intelligence for the browsers. In this paper, the required extra intelligence would be explored with the usage of a neural network. It throws light on the alternative database search mechanisms, search engine architectures etc. The focus here is on the reduction of query time with the help of the intelligent element. The present day distributed nature of the documents require efficient data communication and integration especially when it is required to access a particular information in the multiple files through the query. This calls for online decisions. The relevance of information fusion in conjunction with the Bayesian decisions would be explored in this paper. A novel architecture of neural network that makes use of information feedback from the output to the input of the network to make the search effective in terms of time and resources is provided.

Published in:

2009 Digest of Technical Papers International Conference on Consumer Electronics

Date of Conference:

10-14 Jan. 2009