INTRODUCING A NEW WAY OF VISUAL SEARCH SYSTEM BASED ON THE CLASSIFIERS
Abstract
Attribute-based image representation was in addition revealed great promises for discriminative and descriptive ability because of instinctive interpretation additionally to combine-category generalization property. They explain image regions that are regular in an object group but unusual outdoors from this hence attribute-based visual descriptor has accomplished high-quality performance in managing in the task of image classification. We advise to produce utilization of tough semantic relationship within graph for re-ranking of image search and based on classifiers for the entire predefined qualities, all the images is symbolized using a characteristic feature which includes responses within the classifiers. A hyper-graph may be used to model relationship among images by means of integrating low-level visual features additionally to attribute features after which ranking of hyper-graph is transported to buy images. Its fundamental principle is always that visually related images must have related ranking scores.
Keywords
References
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