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This paper develops a novel framework for semantic image retrieval based on the notion of a scene graph. Our scene graphs… Expand It has been shown that the activations invoked by an image within the top layers of a large convolutional neural network provide… Expand Hashing is a popular approximate nearest neighbor search approach for large-scale image retrieval. Supervised hashing, which… Expand The problem of large-scale image search has been traditionally addressed with the bag-of-visual-words (BOV). In this article, we… Expand Large scale image search has recently attracted considerable attention due to easy availability of huge amounts of data. Several… Expand Relevance feedback is often a critical component when designing image databases. With these databases it is difficult to specify… Expand Blobworld is a system for image retrieval based on finding coherent image regions which roughly correspond to objects. Each image… Expand This paper addresses the problem of retrieving images from large image databases. The method is based on local grayvalue… Expand This paper describes the automatic selection of features from an image training set using the theories of multidimensional… Expand This paper deals with efficient retrieval of images from large databases based on the color and shape content in images. With the… Expand