LogP: towards a realistic model of parallel computation
PPOPP '93 Proceedings of the fourth ACM SIGPLAN symposium on Principles and practice of parallel programming
Fast multiresolution image querying
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Image Representation Using 2D Gabor Wavelets
IEEE Transactions on Pattern Analysis and Machine Intelligence
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Surfimage: a flexible content-based image retrieval system
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
System for Screening Objectionable Images Using Daubechies' Wavelets and Color Histograms
IDMS '97 Proceedings of the 4th International Workshop on Interactive Distributed Multimedia Systems and Telecommunication Services
Image Databases Are Not Databases with Images
ICIAP '97 Proceedings of the 9th International Conference on Image Analysis and Processing-Volume II
On Image Classification: City vs. Landscape
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
Scheduling Aspects for Image Retrieval in Cluster-Based Image Databases
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
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Image retrieval with dynamically extracted features compares user-defined regions of interest with all sections of the archived images. Image elements outside the selected region are ignored, thus objects can be found regardless of the specific environment. Several wavelet- and Gabor-based methods for template matching are proposed. The improved retrieval flexibility requires immense computational resources, which can be satisfied by utilisation of powerful parallel architectures. Therefore, a cluster-based architecture for efficient image retrieval is discussed in the second part of the article. Techniques for the partitioning of the image information, parallel execution of the queries, and strategies for workload balancing are explained by considering the parallel image database Cairo as an example. The quality and efficiency of the retrieval is examined by a number of experiments.