Iconic indexing by 2-D strings
IEEE Transactions on Pattern Analysis and Machine Intelligence
The JPEG still picture compression standard
Communications of the ACM - Special issue on digital multimedia systems
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
International Journal of Computer Vision
Evolutionary computation: toward a new philosophy of machine intelligence
Evolutionary computation: toward a new philosophy of machine intelligence
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
An introduction to genetic algorithms
An introduction to genetic algorithms
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Exploiting the JPEG Compression Scheme for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Photobook: content-based manipulation of image databases
International Journal of Computer Vision
Communications of the ACM
Visual information retrieval from large distributed online repositories
Communications of the ACM
Image retrieval by color semantics
Multimedia Systems - Special issue on video content based retrieval
Spatial Color Indexing and Applications
International Journal of Computer Vision
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
JPEG Still Image Data Compression Standard
JPEG Still Image Data Compression Standard
Multimedia Information Systems
IEEE MultiMedia
Similarity Retrieval of Trademark Images
IEEE MultiMedia
A Knowledge-Based Approach for Retrieving Images by Content
IEEE Transactions on Knowledge and Data Engineering
Line Pattern Retrieval Using Relational Histograms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Color Histogram Indexing for Quadratic Form Distance Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image retrieval based on energy histograms of the low frequency DCT coefficients
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Evolutionary computation: comments on the history and current state
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Image Processing
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In this paper, we address the problem of image content characterization in the compressed domain for the facilitation of similarity matching in content-based image retrieval. Specifically, given the disparity of the content characterization power of compressed domain approaches and those based on pixel-domain features, with the latter being usually considered as the more superior one, our objective is to transform the selected set of compressed domain feature histograms in such a way that the retrieval result based on these features is compatible with their spatial domain counterparts. Since there are a large number of possible transformations, we adopt a genetic algorithm approach to search for the optimal one, where each of the binary strings in the population represents a candidate transformation. The fitness of each transformation is defined as a function of the discrepancies between the spatial-domain and compressed-domain retrieval results. In this way, the GA mechanism ensures that transformations which best approximate the performance of spatial domain retrieval will survive into the next generation and are allowed through the operations of crossover and mutation to generate variations of themselves to further improve their performances.