نتایج جستجو برای: compressed video
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Digital video data can be copied repeatedly without loss of quality. Therefore, copyright protection of video data is a more important issue in digital video delivery networks than it was with analog TV broadcast. One method of copyright protection is the addition of a \watermark" to the video signal which carries information about sender and receiver of the delivered video. Therefore, watermar...
scaling, DeT, DCTdomain processing Straig tforward techniques for processing compressed image or video data a e computationally expensive. For example, let us consider the followi g problem: an image is compressed using a DCT based method and it required to generate another compressed stream which when decom ressed yields an image that is scaled down (decimated) by a factor ()f 2 relative to th...
Visual (image and video) database systems require efficient indexing to enable fast access to the images in a database. In addition, the large memory capacity and channel bandwidth requirements for the storage and transmission of visual data necessitate the use of compression techniques. Vector quantization (VQ) is an efficient technique for low bit-rate image and video compression. In addition...
content-based image retrieval: indexing based on inverted file representations or global descriptors. nearest-neighbor search in Euclidean space, product quantization application to compressed-domain image classification. video copy detection: using bag-of-words or global video representations action analysis in videos, video structuring 3D reconstruction with a multi-camera studio (kinovis.inr...
In this paper we introduce a video smoothing algorithm for MPEG compressed live video. This algorithm, called Pattern Smoothing, transmits compressed video via both Constant Bit Rate (CBR) and Variable Bit Rate (VBR) channels. In order to take advantage of the gains achieved through statistical multiplexing of multiple sources over a single link, this algorithm utilizes a CBR channel to reduce ...
This work studies the fundamental building blocks for steganography in H.264 compressed video: the embedding operation and the choice of embedding locations. Our aim is to inform the design of better video steganography, a topic on which there has been relatively little publication so far. We determine the best embedding option, from a small menu of embedding operations and locations, as benchm...
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