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Methods of Searching in Large Dat Sets
Húsek, Dušan ; Pokorný, J. ; Snášel, V. ; Řezanková, H.
The lecture digest present formal methods used in the area of information retrieval intent on large data collections. Data collections have increased rapidly in last decade so new methods based on statistics, linear algebra, neural network etc. can be used. Generally, we can image processing a large data collection placed in the highly dimensional space. The most important point during processing these data appears reduction of dimensionality.
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Content Based Image Search with Vector Quantization
Snášel, V. ; Húsek, Dušan
Fast and efficient query of information based on image contents is one of the major challenges in visual information systems. Features pace based the Vector Quantization (VQ). The indexing system extracts VQ features from each image to be inserted in the database. The size of the feature vector is much smaller than the image size but the feature vector accurately represents the image.
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