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This paper proposes a novel framework called Distributed Compressed Video Sensing (DISCOS) - a solution for Distributed Video Coding (DVC) based on the recently emerging Compressed Sensing theory. The DISCOS framework compressively samples each video frame independently at the encoder. However, it recovers video frames jointly at the decoder by exploiting(More)
Online social networks (OSNs) have become one of the most effective channels for marketing and advertising. Since users are often influenced by their friends, "word-of-mouth" exchanges, so-called viral marketing, in social networks can be used to increase product adoption or widely spread content over the network. The common perception of viral marketing(More)
Video error concealment is a post-processing technique that conceals the errors in a decoded video sequence based on data available only at the decoder. Most of the current techniques adopt the approach that recovers the Motion Vector (MV) of a lost image block, uses that MV to look for data to fill in the blank then performs some refinements. We propose a(More)
—Video error concealment is an important technique in video communication to recover corrupted parts when erroneously transmitting compressed sequences over network. In this work, we propose a novel error concealment scheme by grouping similar patches in the temporal domain to construct a low-rank matrix and recover the missing areas by the matrix(More)
This paper presents a novel video error concealment method, which is essentially a combination of non-local grouping of image patches and low-rank tensor approximation. The proposed method, though does not require the knowledge of Motion Vectors (MVs) as in traditional video concealment techniques such as Boundary Matching Algorithm (BMA) and its(More)
We propose a novel Layered Compressed Sensing (CS) approach for robust transmission of video signals over packet loss channels. In our proposed method, the encoder consists of a base layer and an enhancement layer. The base layer is a conventionally encoded bitstream and transmitted without any error protection. The additional enhancement layer is a stream(More)
—Passively detecting and counting the number of swallows in food intake enables accurate detection of eating episodes in free-living participants, and aids in characterizing eating episodes. On average, the more food consumed, the greater the number of swallows; and swallows have been shown to positively correlate with caloric intake. While passive sensing(More)
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