scholarly journals Reversible and Tunable Data Hiding with Advanced Video Coding

2020 ◽  
Vol 8 (5) ◽  
pp. 2056-2063
Keyword(s):  
Video Coding ◽  
Video Compression ◽  
Compressed Video ◽  
Secret Image ◽  
Varying Coefficients ◽  
Proposed Model ◽  
Digital Broadcasting ◽  
Image Pixels ◽  
Advanced Video Coding ◽  
Technical Features

Due to broad usage of digital broadcasting application, information can be hackneyed and duplicated. Hence, multimedia security & copy right protection is becoming crucial. Steganography is an outstanding apparatus in providing protection as well as security to multimedia information by hiding digital content. H.264/Advanced Video Coding (AVC), a recent international standardized video coding technique which is under expansion, has presented a major revolution in video compression efficiency. The encoding efficiency of AVC is sophisticated than previous ethics such as H.263. In this paper, a complexity video embedding on H.264 is employed. So as to hide the secret image, chaos image encryption technique has been used where shuffling positions and altering grey values of image pixels are done. The secret image is embedded into video sequences by varying coefficients of I and P Frames. In decoding process, embedded information can be extracted without loss of compressed video content. Applications of proposed method include medicine, military where loss of carrier data is not permitted. Proposed model affords an overview of technical features and relative characteristics of H.264 standard that gives good PSNR and embedding capacity.

scholarly journals Versatile Video Coding for 3.0 Next Generation Digital TV in Brazil

2021 ◽  
Vol 2021 (1) ◽  
pp. 9-17
Author(s):  
Thibaud Biatek ◽  
Mohsen Abdoli ◽  
Mickael Raulet ◽  
Adam Wieckowski ◽  
Christian Lehman ◽  
...  
Keyword(s):  
Video Coding ◽  
Compressed Video ◽  
Limited Bandwidth ◽  
Video Signals ◽  
4K Uhd ◽  
Time Encoding ◽  
Digital Broadcasting ◽  
Virtual And Augmented Reality ◽  
Video Broadcast ◽  
Successive Generations

In the past few decades, the video broadcast ecosystem has gone through major changes; Originally transmitted using analog signals, it has been more and more transitioned toward digital, leveraging compression technologies and transport protocols, principally developed by MPEG. Along this way, the introduction of new video formats was achieved with standardization of new compression technologies for their better bandwidth preservation. Notably, SD with MPEG-2, HD with H.264, 4K/UHD with HEVC. In Brazil, the successive generations of digital broadcasting systems were developed by the SBTVD Forum, from TV-1.0 to TV-3.0 nowadays. The ambition of TV-3.0 is significantly higher than that of previous generations as it targets the delivery of IPbased signals for applications, such as 8K, HDR, virtual and augmented reality. To deliver such services, compressed video signals shall fit into a limited bandwidth, requiring even more advanced compression technologies. The Versatile Video Coding standard (H.266/VVC), has been finalized by the JVET committee in 2021 and is a relevant candidate to address the TV3.0 requirements. VVC is versatile by nature thanks to its dedicated tools for efficient compression of various formats, from 8K to 360°, and provides around 50% of bitrate saving compared to its predecessor HEVC. This paper presents the VVC-based compression system that has been proposed to the SBTVD call for proposals for TV-3.0. A technical description of VVC and an evaluation of its coding performance is provided. In addition, an end-to-end live transmission chain is demonstrated, supporting 4K real-time encoding and decoding with a low glass-to-glass latency.

scholarly journals A novel two-dimensional reversible data hiding method with high embedding capacity in H.264/advanced video coding

2020 ◽  
Vol 16 (3) ◽  
pp. 155014772091100
Author(s):  
Yi Chen ◽  
Hongxia Wang ◽  
Xiaoxu Tang ◽  
Yong Liu ◽  
Hanzhou Wu ◽  
...  
Keyword(s):  
Video Coding ◽  
Video Compression ◽  
Data Hiding ◽  
Reversible Data Hiding ◽  
Error Concealment ◽  
Similarity Index ◽  
Two Dimensional ◽  
Embedding Capacity ◽  
High Embedding Capacity ◽  
Advanced Video Coding

Developing the technology of reversible data hiding based on video compression standard, such as H.264/advanced video coding, has attracted increasing attention from researchers. Because it can be applied in some applications, such as error concealment and privacy protection. This has motivated us to propose a novel two-dimensional reversible data hiding method with high embedding capacity in this article. In this method, all selected quantized discrete cosine transform coefficients are first paired two by two. And then, each zero coefficient-pair can embed 3 information bits and the coefficient-pairs only containing one zero coefficient can embed 1 information bit. In addition, only one coefficient of each one of the rest coefficient-pairs needs to be changed for reversibility. Therefore, the proposed two-dimensional reversible data hiding method can obtain high embedding capacity when compared with the related work. Moreover, the proposed method leads to less degradation in terms of peak-signal-to-noise ratio, structural similarity index, and less impact on bit-rate increase.

scholarly journals A NEW OPTIMIZED IMPLEMENTATION OF A FAST INTRA PREDICTION MODE DECISION ALGORITHM FOR HEVC STANDARD

2020 ◽  
pp. 599-609
Author(s):  
Hajar Touzani ◽  
Ibtissem Wali ◽  
Fatima Errahimi ◽  
Anass Mansouri ◽  
Nouri Masmoudi ◽  
...  
Keyword(s):  
Video Coding ◽  
Video Compression ◽  
High Efficiency ◽  
Intra Prediction ◽  
Prediction Algorithm ◽  
High Efficiency Video Coding ◽  
Decision Algorithm ◽  
Fast Intra Prediction ◽  
Advanced Video Coding ◽  
Embedded Implementation

New and stronger video compression standard was developed during the last years, called H.265/HEVC (High Efficiency Video Coding). This standard has undergone several improvements compared to H.264/AVC (Advanced Video Coding). In intra prediction block, 33 directional intra prediction modes were included in H.265 to have an efficient coding instead of 8 modes that were used in H.264 in addition to planar and DC modes, which has generated computational complexities in the new standard. Therefore one of the most issues for embedded implementation of HEVC is time reduction of the encoding process. In this paper, an embedded implementation of a fast intra prediction algorithm is performed on ARM processors under the embedded Linux Operating System. Experimental results included the comparison between the original HM16.7 and the proposed algorithm show that the encoding time was reduced by an average of 61.5% with an increase of 1.19 in the bit rate and a small degradation in the PSNR of 0.05%.

New Approach of Encrypting Embedded Data in H.264 Compressed Video

2011 ◽  
Vol 230-232 ◽  
pp. 346-351
Author(s):  
Tarik Idbeaa ◽  
Kasmiran Jumari ◽  
Salina Abd. Samad ◽  
Ali Abdulgader ◽  
Nidal Eshah
Keyword(s):  
Video Coding ◽  
Video Compression ◽  
Signal To Noise Ratio ◽  
Video Stream ◽  
Video Sequences ◽  
Compressed Video ◽  
Signal To Noise ◽  
New Approach ◽  
Video Steganography

Digital video steganography has attracted a great deal of research interest in the recent few years in applications. In this paper, we propose a method to embed and encrypt messages into video sequences by using steganography technique Based on the H.264 video coding standard. The system implemented in this work provides robust H.264 video compression constant, without significantly affecting the overall bit rate and quality of the video stream. The results indicate that the algorithm can be implemented steganography fast and efficiently and effect vision and peak signal to noise ratio (PSNR) of video sequences are almost unaffected after decoding.

scholarly journals Review on using Region of interest for HEVC

2018 ◽  
Vol 7 (2.4) ◽  
pp. 93
Author(s):  
Parmeshwar Kokare ◽  
Dr MasoodhuBanu. N.M
Keyword(s):  
Video Coding ◽  
Video Compression ◽  
High Efficiency ◽  
Region Of Interest ◽  
Process Time ◽  
High Efficiency Video Coding ◽  
Block Partitioning ◽  
Coding Efficiency ◽  
Recent Developments ◽  
Advanced Video Coding

High efficiency video coding (HEVC) is the latest video compression standard. The coding efficiency of HEVC is 50% more than the preceding standard Advanced video coding (AVC). HEVC has gained this by introducing many advanced techniques such as adaptive block partitioning system known as quadtree, tiles for parallelization, improved entropy coding called Context-Adaptive Binary Arithmetic Coding (CABAC), 35 intra prediction modes (IPMs), etc. all these techniques have increased the complexity of encoding process due to which real time application of HEVC for video transfer is not yet convenient. The main objective of this paper is to provide a review of the recent developments in HEVC, particularly focusing on using region of interest (ROI) for reducing the encoding process time. Summaries of the different approaches to identify the ROI are discussed and a new method is explained. 

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.

Fuzzy Holoentropy-Based Adaptive Inter-Prediction Mode Selection for H.264 Video Coding

2019 ◽  
Vol 10 (2) ◽  
pp. 42-60
Author(s):  
Srinivas Bachu ◽  
N. Ramya Teja
Keyword(s):  
Video Coding ◽  
Video Compression ◽  
High Performance ◽  
Mode Selection ◽  
Rate Distortion ◽  
Computation Time ◽  
Exhaustive Search ◽  
Inter Prediction ◽  
Major Drawback ◽  
Prediction Mode

Due to the advancement of multimedia and its requirement of communication over the network, video compression has received much attention among the researchers. One of the popular video codings is scalable video coding, referred to as H.264/AVC standard. The major drawback in the H.264 is that it performs the exhaustive search over the interlayer prediction to gain the best rate-distortion performance. To reduce the computation overhead due to exhaustive search on mode prediction process, this paper presents a new technique for inter prediction mode selection based on the fuzzy holoentropy. This proposed scheme utilizes the pixel values and probabilistic distribution of pixel symbols to decide the mode. The adaptive mode selection is introduced here by analyzing the pixel values of the current block to be coded with those of a motion compensated reference block using fuzzy holoentropy. The adaptively selected mode decision can reduce the computation time without affecting the visual quality of frames. Experimentation of the proposed scheme is evaluated by utilizing five videos, and from the analysis, it is evident that proposed scheme has overall high performance with values of 41.367 dB and 0.992 for PSNR and SSIM respectively.

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