Differential Energy Watermarking Based on Macro-block Prediction

2011 ◽  
Author(s):  
Qian Zeng ◽  
Guorui Feng
Keyword(s):  
Macro Block

A Whole Rate-Distortion Optimize Pronounce Based on Wireless Sensor Network

2013 ◽  
Vol 756-759 ◽  
pp. 890-894 ◽  
Author(s):  
Qing Sheng Yu ◽  
Jian Zhang ◽  
Jin Xiang Peng
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Estimation Method ◽  
Rate Distortion ◽  
Video Encoding ◽  
Mode Decision ◽  
Wireless Sensor ◽  
Block Basis ◽  
Decision Scheme ◽  
Macro Block

Based on the Joint Video Team (JVT) of the ITU-T Video Coding Experts Group VC EG and the IS O/IEC Moving Picture Experts Group MPEG, an RD optimal Macro Block mode decision scheme for Internet error channel streaming is introduced. The scheme employs the luminance Rate Distortion (RD) optimal mode decision scheme so as to take the effects of video encoding distortion and the channel error propagation to get higher error robustness for error transmission. Based on the Wireless Sensor Network, this paper analyzes the data distortion problem when transmitting H.264 coded video stream over error-prone channel. And the authors also have discussed a widely accepted technique that introduces more intra-coded information on macro block basis. Additionally, this paper introduces a simple loss and multiplication factor estimation method, the rate-distortion optimized assessing strategy over the whole situation.

Lossless Compression for Video Streams with Frequency Prediction and Macro Block Merging

2021 ◽  
Author(s):  
Jixiang Luo ◽  
Shaohui Li ◽  
Wenrui Dai ◽  
De Cheng ◽  
Gang Lit ◽  
...  
Keyword(s):  
Lossless Compression ◽  
Video Streams ◽  
Macro Block

An Efficient Block Mode Detection Algorithm for Scalable Video Coding using Probability Model

2015 ◽  
Vol 4 (2) ◽  
pp. 42-55 ◽  
Author(s):  
L. Balaji ◽  
K.K. Thyagharajan ◽  
A. Dhanalakshmi
Keyword(s):  
Signal To Noise Ratio ◽  
Probability Model ◽  
Scalable Video Coding ◽  
Rate Distortion ◽  
Detection Algorithm ◽  
Base Layer ◽  
Scalable Video ◽  
Coding Efficiency ◽  
Macro Block ◽  
Video Model

H.264 / AVC expansion is H.264 / SVC which is applicable in environments that demand video streaming. This paper delivers an algorithm to shorten computational complexity and extend coding efficiency by determining the mode speedily. In this writing, the authors talk a fast mode resolution algorithm with less complexity unlikely the traditional joint scalable video model (JSVM). Their algorithm end mode hunt by a probability model defined. This model is address for both intra-mode and inter-mode predictions of base layer and enhancement layers in a macro block (MB). The estimated rate distortion cost (RDC) for modes among layers is custom to determine the best mode of each MB. The experimental results show that the authors' algorithm realizes 26.9% of encoding time when compared with the JSVM reference software with smallest reduction in peak signal to noise ratio (PSNR).

The Research Based on Fast Motion Estimation of H.264

2012 ◽  
Vol 562-564 ◽  
pp. 2153-2156
Author(s):  
Sheng Bing Che ◽  
Han Gao
Keyword(s):  
Reference Frames ◽  
Low Frequency ◽  
Prediction Algorithm ◽  
Discrete Wavelet ◽  
Motion Vectors ◽  
Fast Motion Estimation ◽  
Macro Block ◽  
Model Segmentation ◽  
Current Block ◽  
Fast Motion

A optimization algorithm is put forward based on the brightness and frequency domain characteristics of macro block, including the algorithm of model segmentation and the prediction algorithm of starting motion vectors(MV). The basic idea of the mode segmentation is that to the unit of 16×16 block, discrete wavelet transform to frames, the after low frequency coefficients as the research object, define the coefficients sum ∑. If ∑ is greater or equal to threshold, the corresponding areas will be divided into texture areas, or smooth areas. The current block is compared with the corresponding block in reference frames. If the result is equal, the current block will be marked to background block, or sport block, and the corresponding segmentation mode is selected at the same time. The basic idea of prediction starting motion vectors algorithm is that base on the marked sport blocks, the starting MV of current block is the median value of MV to adjacent sport blocks in initial MV prediction. The experimental results show that the efficiency of algorithm in this paper has been improved.

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