Content-based retrieval using MPEG-7 visual descriptor and hippocampal neural network

Young Ho Kim; Lyang-Jae Joung; Dae-Seong Kang

doi:10.1117/12.648369

6 December 2005 Content-based retrieval using MPEG-7 visual descriptor and hippocampal neural network

Young Ho Kim, Lyang-Jae Joung, Dae-Seong Kang

Proceedings Volume 6051, Optomechatronic Machine Vision; 605114 (2005) https://doi.org/10.1117/12.648369
Event: Optomechatronic Technologies 2005, 2005, Sapporo, Japan

Abstract

As development of digital technology, many kinds of multimedia data are used variously and requirements for effective use by user are increasing. In order to transfer information fast and precisely what user wants, effective retrieval method is required. As existing multimedia data are impossible to apply the MPEG-1, MPEG-2 and MPEG-4 technologies which are aimed at compression, store and transmission. So MPEG-7 is introduced as a new technology for effective management and retrieval for multimedia data. In this paper, we extract content-based features using color descriptor among the MPEG-7 standardization visual descriptor, and reduce feature data applying PCA(Principal Components Analysis) technique. We remodel the cerebral cortex and hippocampal neural networks as a principle of a human's brain and it can label the features of the image-data which are inputted according to the order of hippocampal neuron structure to reaction-pattern according to the adjustment of a good impression in Dentate gyrus region and remove the noise through the auto-associate- memory step in the CA3 region. In the CA1 region receiving the information of the CA3, it can make long-term or short-term memory learned by neuron. Hippocampal neural network makes neuron of the neural network separate and combine dynamically, expand the neuron attaching additional information using the synapse and add new features according to the situation by user's demand. When user is querying, it compares feature value stored in long-term memory first and it learns feature vector fast and construct optimized feature. So the speed of index and retrieval is fast. Also, it uses MPEG-7 standard visual descriptors as content-based feature value, it improves retrieval efficiency.

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Young Ho Kim, Lyang-Jae Joung, and Dae-Seong Kang "Content-based retrieval using MPEG-7 visual descriptor and hippocampal neural network", Proc. SPIE 6051, Optomechatronic Machine Vision, 605114 (6 December 2005); https://doi.org/10.1117/12.648369

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KEYWORDS

Neural networks

Image retrieval

Feature extraction

RGB color model

Neurons

Multimedia

Principal component analysis

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