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Finding highlights relevant to a text query in unedited videos has become increasingly important due to their unprecedented growth. We refer this task as semantic highlight retrieval and propose a query-dependent video representation for retrieving a variety of highlights. Our method consist of two parts: (1) “viralets”, a mid-level representation bridging between visual and semantic spaces; (2) a...
Company data are very often outsourced to cloud service providers in order to lower costs of maintaining hardware. If the outsourced data are to be kept secure from a third party, the connection between the cloud service provider and the company could be secured by a protocol similar to SSL. This, however, requires that the data is stored at the cloud service provider in plaintext form, meaning the...
Human pose estimation in a static image is a challenging problem in computer vision in that body part configurations are often subject to severe deformations and occlusions. Moreover, efficient pose estimation is often a desirable requirement in many applications. The trade-off between accuracy and efficiency has been explored in a large number of approaches. On the one hand, models with simple representations...
Image Vector Quantization (VQ) has many current applications, like speech and image compression, and envisioned applications, such as digital watermarking, data hiding and speaker identification. Given an image, VQ produce an index map by quantizing the image block by block. Recently, a loss less VQ index compression scheme, called Index Searching Algorithm with index Associated List (ISAIAL), was...
Several applications benefited from multicast data distribution because a sender can concurrently transmit data to multiple receivers using fewer bandwidth. However, reliability is an important issue in multicast because retransmission is not very efficient in multicast. In recent years, Forward Error Correction (FEC) codes are proposed to facilitate reliable multicast data distribution and are applied...
Low flow is widely regarded as the primary flow conditions for the anthropogenic and aquatic communities in most rivers, particularly in such an arid and semi-arid area as the Yellow River. In this study, a procedure combining Mann-Kendall trend test, wavelet transform analysis and spatial mapping techniques is presented to identify the spatio-temporal patterns of low-flow changes in the Yellow River...
Image vector quantization (VQ) has many current applications, like speech and image compression, and envisioned applications, such as digital watermarking, data hiding and speaker identification. In this paper, we propose a novel lossless compression algorithm, called ISAIAL, to improve the coding efficiency of image VQ. Given an image, VQ produce an index map by quantizing the image block by block,...
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