scholarly journals Efficient Enhancement for Spatial Scalable Video Coding Transmission

2017 ◽  
Vol 2017 ◽  
pp. 1-13
Author(s):  
Mayada Khairy ◽  
Alaa Hamdy ◽  
Amr Elsayed ◽  
Hesham Farouk
Keyword(s):  
Video Coding ◽  
Video Compression ◽  
Scalable Video Coding ◽  
Standard Technique ◽  
Base Layer ◽  
Scalable Video ◽  
Video Streams ◽  
Coding Efficiency ◽  
Advanced Video Coding ◽  
Second Category

Scalable Video Coding (SVC) is an international standard technique for video compression. It is an extension of H.264 Advanced Video Coding (AVC). In the encoding of video streams by SVC, it is suitable to employ the macroblock (MB) mode because it affords superior coding efficiency. However, the exhaustive mode decision technique that is usually used for SVC increases the computational complexity, resulting in a longer encoding time (ET). Many other algorithms were proposed to solve this problem with imperfection of increasing transmission time (TT) across the network. To minimize the ET and TT, this paper introduces four efficient algorithms based on spatial scalability. The algorithms utilize the mode-distribution correlation between the base layer (BL) and enhancement layers (ELs) and interpolation between the EL frames. The proposed algorithms are of two categories. Those of the first category are based on interlayer residual SVC spatial scalability. They employ two methods, namely, interlayer interpolation (ILIP) and the interlayer base mode (ILBM) method, and enable ET and TT savings of up to 69.3% and 83.6%, respectively. The algorithms of the second category are based on full-search SVC spatial scalability. They utilize two methods, namely, full interpolation (FIP) and the full-base mode (FBM) method, and enable ET and TT savings of up to 55.3% and 76.6%, respectively.

scholarly journals Efficient and Low Complexity Surveillance Video Compression using Distributed Scalable Video Coding

2018 ◽  
Vol 34 (1) ◽  
Author(s):  
Le Dao Thi Hue ◽  
Luong Pham Van ◽  
Duong Dinh Trieu ◽  
Xiem HoangVan
Keyword(s):  
Video Coding ◽  
Video Compression ◽  
Video Surveillance ◽  
High Efficiency ◽  
Scalable Video Coding ◽  
Low Complexity ◽  
Video Data ◽  
Base Layer ◽  
Scalable Video ◽  
Surveillance Video

Video surveillance has been playing an important role in public safety and privacy protection in recent years thanks to its capability of providing the activity monitoring and content analyzing. However, the data associated with long hours surveillance video is huge, making it less attractive to practical applications. In this paper, we propose a low complexity, yet efficient scalable video coding solution for video surveillance system. The proposed surveillance video compression scheme is able to provide the quality scalability feature by following a layered coding structure that consists of one or several enhancement layers on the top of a base layer. In addition, to maintain the backward compatibility with the current video coding standards, the state-of-the-art video coding standard, i.e., High Efficiency Video Coding (HEVC), is employed in the proposed coding solution to compress the base layer. To satisfy the low complexity requirement of the encoder for the video surveillance systems, the distributed coding concept is employed at the enhancement layers. Experiments conducted for a rich set of surveillance video data shown that the proposed surveillance - distributed scalable video coding (S-DSVC) solution significantly outperforms relevant video coding benchmarks, notably the SHVC standard and the HEVC-simulcasting while requiring much lower computational complexity at the encoder which is essential for practical video surveillance applications.

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).

scholarly journals A Tutorial on H.264/SVC Scalable Video Coding and its Tradeoff between Quality, Coding Efficiency and Performance

10.5772/19227 ◽  
2011 ◽  
Author(s):  
Iraide Unanue ◽  
Inigo Urteaga ◽  
Ronaldo Husemann ◽  
Javier Del ◽  
Valter Roesler ◽  
...  
Keyword(s):  
Video Coding ◽  
Scalable Video Coding ◽  
Scalable Video ◽  
Coding Efficiency ◽  
And Performance

Motion Compensated Temporal Filtering in Scalable Video Coding Algorithm

2014 ◽  
Vol 687-691 ◽  
pp. 4097-4100
Author(s):  
Shun Xing Hu ◽  
Hong Tao Zhang
Keyword(s):  
Video Coding ◽  
Scalable Video Coding ◽  
Temporal Correlation ◽  
Haar Wavelet ◽  
Scalable Video ◽  
Temporal Filtering ◽  
Filtering Method ◽  
Coding Efficiency ◽  
Wavelet Lifting ◽  
Lifting Techniques

the temporal correlation exists between the frame and the frame in a video message, in order to solve temporal redundancy.This paper adopts motion-compensated temporal filtering method for removing temporal correlation, motion-compensated temporal filtering and Haar wavelet lifting techniques are studied and discussed; finally presented the improved motion compensated temporal filtering methods. Results show the new method improves coding efficiency and scalability.

Fast Intra Mode Decision Algorithm Based on Mode Correlation in SVC

2013 ◽  
Vol 373-375 ◽  
pp. 525-529
Author(s):  
Luna Jing ◽  
Ning Li ◽  
Li Ni Ma
Keyword(s):  
Video Coding ◽  
Scalable Video Coding ◽  
Mode Decision ◽  
Base Layer ◽  
Scalable Video ◽  
Enhancement Layer ◽  
Decision Algorithm ◽  
Intra Mode Decision ◽  
Rate Loss ◽  
Fast Intra Mode Decision

Intra4×4 mode decision has correlation between enhancement layer and base layer in scalable video coding (SVC). In this paper, a new intra mode decision algorithm is proposed based on this correlation and the proximity of prediction directions of nine Intra4×4 prediction modes. This method is used in enhancement layer to decrease the mode numbers in enhancement layer. Experiments show that the proposed algorithm can save 27.52% encoding time on average with negligible PSNR change and small bit-rate loss.

Scalable Video Coding Bit Stream Extraction Based on Equivalent MSE Method

2011 ◽  
Vol 204-210 ◽  
pp. 1728-1732 ◽  
Author(s):  
Da Xing Qian ◽  
Hong Yu Wang ◽  
Fang Lin Niu
Keyword(s):  
Video Coding ◽  
Scalable Video Coding ◽  
Video Stream ◽  
Frame Rate ◽  
Scalable Video ◽  
Enhancement Layer ◽  
Coding Efficiency ◽  
Frequency Components ◽  
Bit Stream ◽  
Spatial Enhancement

The bit stream extraction plays an important role in Scalable Video Coding (SVC) [1]. However, one downside of current video coding methods is to ignore the video contents which is in fact an important factor for video coding efficiency. Therefore, an equivalent MSE method is proposed in this paper to extract substreams in the temporal and spatial enhancement layers. When the Motion Vectors (MVs) are large in one video, a larger frame rate is necessary to maintain the continuity of the object movement which makes no jump in the visual sense. In this sense, substreams extraction in temporal enhancement layer has to be satisfied. On the other hand, if there are some larger high-frequency components in a single frame of the video, that is to say, there are some higher spatial details in the video stream. As a result, it should try to meet the extraction requirement in spatial enhancement layer. This method has the advantage of considering the contents of the video, which can effectively improve the coding performance and quality. The experimental results have demonstrated the improved quality of reconstructed video for the equivalent MSE method when extracting bit stream arbitrarily at the same bandwidth.

An early Mode Decision Algorithm for the Enhancement Layers in H.264 Scalable Video Coding

2012 ◽  
Vol 263-266 ◽  
pp. 246-250
Author(s):  
Chun Yuan ◽  
Bo Lin Xu
Keyword(s):  
Video Coding ◽  
Selection Process ◽  
Scalable Video Coding ◽  
Mode Selection ◽  
Back Propagation ◽  
Mode Decision ◽  
Base Layer ◽  
Scalable Video ◽  
Decision Algorithm ◽  
Propagation Network

This paper presents a early mode decision algorithm, which is proposed to reduce the complexity of the mode selection process for enhancement layers in H.264 Scalable Video Coding. The proposed algorithm consists of the following three main steps. We firstly divide all the macroblocks into 4 classes according to the mode of collocated macroblocks in the base layer. Then, the macroblocks are subdivided with trained BP (Back Propagation) network according to the mode of neighboring macroblocks. Finally, we choose different mode selection algorithms for different divided cases, and check whether the algorithms are agreeable. Compared to JSVM 9.18, experiment results show that, with this algorithm, 30% encoding time can be saved with a negligible loss in BDSNR, and BDBR can be significantly reduced.

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