There is great interest in the storage and browsing of large collections of video clips, due to the current explosion in demand for digital video. Many new algorithms and standards (MPEG, H.261, H.263, etc.) have been developed in recent years for the coding of video. However, most of these techniques lose performance when there exists signi cant camera motion, a common element of some classes ...

H.264/AVC video compression standard provides high coding efficiency, but it has high complexity and consumes more power. This paper explains advantages of H.264 audio video codec and why this H.264 technology should be on the shopping list of every business. Digital video streams, especially at high definition (HD) resolution, represent huge amounts of data. In order to achieve real-time HD re...

Compressive sensing has been widely applied to problems in signal and imaging processing. In this work, we present an algorithm for predicting optimal real-time compression rates for video. The video data we consider is spatially compressed during the acquisition process, unlike in many of the standard methods. Rather than temporally compressing the frames at a fixed rate, our algorithm adaptiv...

Since context-based adaptive binary arithmetic coding (CABAC) as the entropy coding method in H.264/AVC was originally designed for lossy video compression, it is inappropriate for lossless video compression. Based on the fact that there are statistical differences of residual data between lossy and lossless video compression, we propose an efficient differential pixel value coding method in CA...

Compressed sensing has become an extensive research area in MR community because of the opportunity for unprecedented high spatio-temporal resolution reconstruction. Because dynamic magnetic resonance imaging (MRI) usually has huge redundancy along temporal direction, compressed sensing theory can be effectively used for this application. Historically, exploiting the temporal redundancy has bee...

|The use of matching pursuit (MP) to code video using over-complete Gabor basis functions has recently been introduced 8]. In this paper, we propose new functionalities such as SNR scalability and arbitrary shape coding for video coding based on matching pursuit. We improve the performance of the baseline algorithm in 8] by proposing a new search and a new position coding technique. The resulti...

Current video compression formats optimize for either compression or editing. For example, motion-JPEG (MJPEG) provides excellent random access and moderate overall compression, while MPEG optimizes for compression at the expense of random access. Converting from one format to another, a process called transcoding, is often desirable over the life of a video segment. This paper shows how to tra...

There is a tradeoff between the speed of a data compressor and the level of compression it can achieve. Improving compression generally requires more computation; and improving speed generally sacrifices compression. In this thesis, we examine a range of tradeoffs for text and video. In text compression, we attempt to bridge the gap between statistical techniques, which exhibit a greater amount...

MPEG video compression is used in many current and emerging products. It is at the heart of digital television set-top boxes, DSS, HDTV decoders, DVD players, video conferencing, Internet video, and other applications. These applications benefit from video compression in the fact that they may require less storage space for archived video information, less bandwidth for the transmission of the ...