A Comprehensive Overview of the Applications of Artificial Life
Artificial Life
Media Converter with Impression Preservation Using a Neuro-Genetic Approach
International Journal of Hybrid Intelligent Systems
A relevance feedback CBIR algorithm based on fuzzy sets
Image Communication
Using Evolving Agents to Critique Subjective Music Compositions
Computational Intelligence and Security
An interactive evolutionary approach for content based image retrieval
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Emotion related structures in large image databases
Proceedings of the ACM International Conference on Image and Video Retrieval
A new text detection algorithm for content-oriented line drawing image retrieval
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Evaluating subjective compositions by the cooperation between human and adaptive agents
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Visual query processing for efficient image retrieval using a SOM-based filter-refinement scheme
Information Sciences: an International Journal
Automatic semantic annotation by using fuzzy theory for natural images
International Journal of Wireless and Mobile Computing
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Content-based image retrieval has been actively studied in several fields. This provides more effective management and retrieval of images than the keyword-based approach. However, most of the conventional methods lack the capability to effectively incorporate human intuition and emotion into retrieving images. It is difficult to obtain satisfactory results when the user wants the image that cannot be explicitly described or can be requested only based on impression. In order to solve this problem and supplement the lack of the user's expression capability, we have developed an image retrieval system based on human preference and emotion by using an interactive genetic algorithm (IGA). This system extracts the feature from images by wavelet transform, and provides a user-friendly means to retrieve an image from a large database when the user cannot clearly define what the image must be. Therefore, this facilitates the search for the image not only with explicit queries, but also with implicit queries such as "cheerful impression," "gloomy impression," and so on. A thorough experiment with a 2000 image database shows the usefulness of the proposed system.