• Corpus ID: 17519701

Visual Saliency Detection and its Application to Image Retrieval

@inproceedings{Muratov2013VisualSD,
  title={Visual Saliency Detection and its Application to Image Retrieval},
  author={Oleg Muratov},
  year={2013}
}
People perceive any kind of information with different level of attention and involvement. [] Key Method In comparison to previous works in this field the proposed approaches tackles saliency estimation on the object-wise level. In addition, one of the proposed approach solves saliency detection problem through modelling 3-D spatial relationships between objects in a scene. Moreover, a novel idea of the application of saliency to diversification of image retrieval results is presented.

Is visual saliency useful for content-based image retrieval?

TLDR
The experiments reveal that the way of using saliency map to filter a small amount of key-points can clearly improve the performance of CBIR, and the keypoints in the background are also useful in some kinds of image datasets.

Is visual saliency useful for content-based image retrieval?

TLDR
The experiments reveal that the way of using saliency map to filter a small amount of key-points can clearly improve the performance of CBIR, and the keypoints in the background are also useful in some kinds of image datasets.

RETRIEVAL OF COMPLEX IMAGES USING VISUAL SALIENCY GUIDED COGNITIVE CLASSIFICATION

TLDR
The Itti visual saliency model is described here for generation of an overall saliency map with the integration of color saliency, intensity and direction maps for efficient retrieval of information from multimedia data storage.

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