Design of high-performance transform and quantization circuit for unified video CODEC

2008 ◽  
Author(s):  
Seonyoung Lee ◽  
Kyeongsoon Cho
Keyword(s):  
High Performance ◽  
Video Codec

scholarly journals Real-Time Layered Video Compression using SIMD Computation

1998 ◽  
Vol 5 (45) ◽  
Author(s):  
Morten Vadskær Jensen ◽  
Brian Nielsen
Keyword(s):  
Real Time ◽  
Video Compression ◽  
High Performance ◽  
Signal To Noise Ratio ◽  
Video Stream ◽  
Video Codec ◽  
Discrete Cosine Transforms ◽  
Wide Range ◽  
Layered Video ◽  
The Difference

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 adaptation to a wide range of receiver capabilities. We show how a test video stream can be partitioned into several distinct layers of increasing visual quality and bandwidth requirements, with the difference between highest and lowest requirement being 47 : 1. Through the use of the Visual Instruction Set on SUN's Ultra-SPARC platform we demonstrate how SIMD parallel image processing enables real-time layered encoding and decoding in software. Our 384 * 320 * 24-bit test video stream is partitioned into 21 layers at a speed of 39 frames per second and reconstructed at 28 frames per second. Our VIS accelerated encoder stages are about 3-4 times as fast as an optimized C version. We find that this speed-up is well worth the extra implementation effort.

High-Performance Video Codec for Super Hi-Vision

2013 ◽  
Vol 101 (1) ◽  
pp. 130-139 ◽  
Author(s):  
Yoshiaki Shishikui ◽  
Kazuhisa Iguchi ◽  
Shinichi Sakaida ◽  
Kimihiko Kazui ◽  
Akira Nakagawa
Keyword(s):  
High Performance ◽  
Video Codec

scholarly journals Ensemble of Chaotic and Naive Approaches for Performance Enhancement in Video Encryption

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Jeyamala Chandrasekaran ◽  
S. J. Thiruvengadam
Keyword(s):  
High Performance ◽  
Performance Enhancement ◽  
Initial Conditions ◽  
Research Work ◽  
Computational Cost ◽  
Video On Demand ◽  
Data Encryption ◽  
Video Codec ◽  
Video Encryption ◽  
Avalanche Effect

Owing to the growth of high performance network technologies, multimedia applications over the Internet are increasing exponentially. Applications like video conferencing, video-on-demand, and pay-per-view depend upon encryption algorithms for providing confidentiality. Video communication is characterized by distinct features such as large volume, high redundancy between adjacent frames, video codec compliance, syntax compliance, and application specific requirements. Naive approaches for video encryption encrypt the entire video stream with conventional text based cryptographic algorithms. Although naive approaches are the most secure for video encryption, the computational cost associated with them is very high. This research work aims at enhancing the speed of naive approaches through chaos based S-box design. Chaotic equations are popularly known for randomness, extreme sensitivity to initial conditions, and ergodicity. The proposed methodology employs two-dimensional discrete Henon map for (i) generation of dynamic and key-dependent S-box that could be integrated with symmetric algorithms like Blowfish and Data Encryption Standard (DES) and (ii) generation of one-time keys for simple substitution ciphers. The proposed design is tested for randomness, nonlinearity, avalanche effect, bit independence criterion, and key sensitivity. Experimental results confirm that chaos based S-box design and key generation significantly reduce the computational cost of video encryption with no compromise in security.

A high-performance SPIHT-based image and video codec for surveillance

2013 ◽  
Vol 6 (2) ◽  
pp. 75 ◽  
Author(s):  
Bibhuprasad Mohanty ◽  
Pramod Kumar Verma ◽  
Sudipta Mahapatra
Keyword(s):  
High Performance ◽  
Video Codec
Sign in / Sign up

Export Citation Format

Share Document