International Journal of Computer Vision
Handbook of pattern recognition & computer vision
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Learning - Special issue on learning with probabilistic representations
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy
Evolutionary Computation
A multi-feature optimization approach to object-based image classification
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Properties of an adaptive archiving algorithm for storing nondominated vectors
IEEE Transactions on Evolutionary Computation
A computational model for color naming and describing color composition of images
IEEE Transactions on Image Processing
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the MPEG-7 standard
IEEE Transactions on Circuits and Systems for Video Technology
An Object- and User-Driven System for Semantic-Based Image Annotation and Retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Support vector machines for histogram-based image classification
IEEE Transactions on Neural Networks
Concept based interactive retrieval for social environment
Proceedings of the 2010 ACM workshop on Social, adaptive and personalized multimedia interaction and access
Building detection with loosely-coupled hybrid feature descriptors
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Bayesian multimodal fusion in forensic applications
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Multifeature analysis and semantic context learning for image classification
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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An object-oriented approach for semantic-based image retrieval is presented. The goal is to identify key patterns of specific objects in the training data and to use them as object signature. Two important aspects of semantic-based image retrieval are considered: retrieval of images containing a given semantic concept and fusion of different low-level features. The proposed approach splits the image into elementary image blocks to obtain block regions close in shape to the objects of interest. A multiobjective optimization technique is used to find a suitable multidescriptor space in which several low-level image primitives can be fused. The visual primitives are combined according to a concept-specific metric, which is learned from representative blocks or training data. The optimal linear combination of single descriptor metrics is estimated by applying the Pareto archived evolution strategy. An empirical assessment of the proposed technique was conducted to validate its performance with natural images.