NDLI: A Multiple-Instance Neural Networks based Image Content Retrieval System

Content Provider	IEEE Xplore Digital Library
Author	Shim-Chin Chuang Yeong-Yuh Xu Hsin Chia Fu Hsiang-Cheh Huang
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci. Eng., Nat. Chiao Tung Univ., Hsinchu (Shim-Chin Chuang; Yeong-Yuh Xu; Hsin Chia Fu)
Abstract	In this paper, we proposed a multiple-instance neural network (MINN) for content-based image retrieval (CBIR). In order to represent the rich content of an image without precisely image segmentation, the image retrieval problem is considered as a multiple-instance learning problem. A set of exemplar images are selected by a user, each of which is labelled as conceptual related (positive) or conceptual unrelated (negative) image. Then, the proposed MINN is trained by using the proposed learning algorithm to learn the user's preferred image concept from the positive and negative examples. Experimental results show that: (1) without image segmentation and using only the color histogram as the image feature, the MINN without relevance feedback performs slightly inferior to some leading image retrieval methods, and (2) the MINN with the relevance feedback can significantly improve the retrieving performance from 40.3% to 59.3%, which outperforms to the results of some leading image retrieval methods
Sponsorship	IEEE ICIC Int. National Natural Sci. Found. of China Beijing Jiaotong Univ. Kaosiung Univ. of Appl. Sci
Starting Page	412
Ending Page	415
File Size	161852
Page Count	4
File Format	PDF
ISBN	0769526160
DOI	10.1109/ICICIC.2006.204
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Image segmentation Histograms Fuzzy sets Content based retrieval Neural networks Image retrieval Information retrieval Microelectronics Internet
Content Type	Text
Resource Type	Article

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