Real-Time Layered Video Compression using SIMD Computation
نویسندگان
چکیده
منابع مشابه
Real-Time Layered Video Compression Using SIMD Computation
We present the design and implementation of a high performance layered video codec, designed for deployment in bandwidth heterogeneous networks. The codec combines wavelet based subband decomposition and discrete cosine transforms to facilitate layered spatial and SNR (signal-to-noise ratio) coding for bit-rate adaption to a wide range of receiver capabilities. We show how a test video stream c...
متن کاملReal - Time Video Compression Using Di erentialVector
|This paper describes hardware that has been built to compress video in real time using full-search vector quan-tization (VQ). This architecture implements a diierential-vector-quantization (DVQ) algorithm and features a special-purpose digital associative memory, the VAMPIRE chip, which has been fabricated in 2m CMOS. We describe the DVQ algorithm, its adaptations for sampled NTSC composite co...
متن کاملReal-Time Adaptive Video Compression
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...
متن کاملReal Time Video Compression and Novelty Detection using HMM Algorithm
A new DCT approximation that possesses an extremely low arithmetic complexity, requiring only 14 additions. This novel transform was obtained by means of solving a tailored optimization problem aiming at minimizing the transform computational cost. Second, we propose hardware implementations for several 2-D 8-point approximate DCT. All introduced implementations are sought to be fully parallel ...
متن کاملReal - time video compression using entropy - biased ANN codebooks yStanley
We describe hardware that has been built to compress video in real time using full-search vector quantization (VQ). This architecture implements a diierential-vector-quantization (DVQ) algorithm which features entropy-biased codebooks designed using an artiicial neural network (ANN). A special-purpose digital associative memory, the VAMPIRE chip, performs the VQ processing. We describe the DVQ ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BRICS Report Series
سال: 1998
ISSN: 1601-5355,0909-0878
DOI: 10.7146/brics.v5i45.19490