Recently, hashing video contents for fast retrieval has received increasing attention due to the enormous growth of online videos. As the extension of image hashing techniques, traditional video hashing methods mainly focus on seeking the appropriate video features but pay little attention to how the video-specific features can be leveraged to achieve optimal binarization. In this paper, an end...

Our recent work on large-scale learning using b-bit minwise hashing [21, 22] was tested on the webspam dataset (about 24 GB in LibSVM format), which may be way too small compared to real datasets used in industry. Since we could not access the proprietary dataset used in [31] for testing the Vowpal Wabbit (VW) hashing algorithm, in this paper we present an experimental study based on the expand...

Learning compact representation is vital and challenging for large scale multimedia data. Cross-view/crossmodal hashing for effective binary representation learning has received significant attention with exponentially growing availability of multimedia content. Most existing crossview hashing algorithms emphasize the similarities in individual views, which are then connected via cross-view sim...

The similarity searches that use high-dimensional feature vectors consisting of a vast amount of data have a wide range of application. One way of conducting a fast similarity search is to transform the feature vectors into binary vectors and perform the similarity search by using the Hamming distance. Such a transformation is a hashing method, and the choice of hashing function is important. H...

Consistent hashing is a special kind of hashing which is useful for certain applications. Originally devised by Karger et. al. at MIT[2] for use in distributed caching, the idea has now been expanded to other areas, most notably peer to peer networking[5][4]. As internet use increases and as distributed systems grow more prevalent (ie, Napster clones), consistent hashing could play an increasin...

The paper illustrates an image hashing scheme and an image verification system based on jointed hashing and watermarking algorithms. We propose an image hashing scheme based on a set of robust features extracted from jointed DCT-DWT frequency domains and enciphered using an efficient chaotic system. The proposed hashing algorithm and a rotation-scale-translation (RST) invariant watermarking sch...