Article
Mathematics
Di Fan, Huiyuan Zhao, Changying Zhang, Hongyun Liu, Xiaoming Wang
Summary: The problem of information security and copyright protection in video is increasingly prominent. The current video watermarking algorithm lacks strong anti-compression, resulting in a significant impact on the visual effect of video. This paper proposes a video watermarking algorithm based on H.264/AVC, which selects the appropriate chroma subblock based on the non-zero quantization coefficient and energy factor, and embeds the watermark into its DCT quantization coefficients using an optimized modulation to minimize the number of modifications. The algorithm shows good invisibility, anti-compression performance, and significant advantages compared to other similar methods.
Article
Computer Science, Information Systems
M. Venkata Phani Kumar, Monalisa Ghosh, Sudipta Mahapatra
Summary: This paper proposes two no-reference video quality assessment models based on feature extraction and dimension adaptation. The models predict video quality scores by calculating spatio-temporal distortions and content characteristics, and transform frame-level quality scores into video-level quality scores using a multi-stage temporal pooling mechanism. Experimental evaluations on video quality databases show that the predicted scores have good correlation with subjective quality scores.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Yasamin Fazliani, Ernesto Andrade, Shahram Shirani
Summary: The study presents a real-time no-reference video quality assessment method for videos encoded by H.264 codec, extracting features, designing network dynamics, and ensuring high correlation with human judgment and minimal computational complexities. The proposed method is verified through experiments to outperform existing full-reference and no-reference video quality assessment methods while achieving real-time execution.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Physics, Multidisciplinary
Zirui Zhang, Ping Chen, Weijun Li, Xiaoming Xiong, Qianxue Wang, Heping Wen, Songbin Liu, Shuting Cai
Summary: This paper proposes an improved bitstream-oriented encryption method based on chaotic encryption for real-time video confidential communication. A 4-D self-synchronous chaotic stream cipher algorithm is designed to enhance security, and an ARM-embedded remote real-time video confidential communication system is built for experimental verification. Experimental results demonstrate that the proposed scheme, with high efficiency and flexibility, can meet the requirements of security, real-time performance, and format compatibility simultaneously.
Article
Computer Science, Information Systems
Rusul Nabeel, Mohammed H. Al-Jammas
Summary: The video coding process involves encoding and decoding digital video scenes, requiring high bandwidth and memory for translation. H.264 advanced video coding reduces video size by compressing the original video.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Engineering, Electrical & Electronic
Benjamin Bross, Ye-Kui Wang, Yan Ye, Shan Liu, Jianle Chen, Gary J. Sullivan, Jens-Rainer Ohm
Summary: VVC, the most recent international video coding standard, achieves significant bit rate reductions of around 50%, supports a wider variety of video content and emerging applications, and provides greater versatility for different uses through novel technical features.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Grzegorz Pastuszak
Summary: This paper presents optimizations introduced to the generative hardware architecture to increase throughputs and hardware efficiencies in H.265/HEVC video compression. The optimizations include processing multiple bypass-mode subseries in one clock cycle, buffering aggregated contributions to the codestream, reducing the number of contributions used to update the low register, and increasing the maximal one-clock-cycle renormalization shift of the low register. These optimizations result in an increased throughput from 18.37 to 37.42 symbols per clock cycle.
Article
Computer Science, Information Systems
Woonsung Park, Munchurl Kim
Summary: This study presents DeepPVCnet, a deep learning-based video compression network that achieves end-to-end prediction and compression based on multi-frame hypothesis, multi-scale structure, and temporal-context-adaptive entropy model. The incorporation of mode-selective framework and uni- and bi-directional predictive modes in rate-distortion minimization sense is a key feature. Additionally, the proposed temporal-context-adaptive entropy model utilizes temporally coherent context from reference frames, allowing for parallel computing and superior performance compared to conventional methods in an MS-SSIM perspective.
Article
Optics
Yanfei Sun, Junyu Wang, Haozhi Huang, Qing Chen
Summary: The scalable watermarking algorithm based on Discrete Cosine Transform (DCT) in the H.264/SVC framework allows for invisible watermark embedding, adapting to multi-resolution properties, and has been proven to result in robust and invisible embedded watermarks through testing.
Article
Computer Science, Information Systems
Jin Wang, Jiandong Liu, Haoqiang Xu
Summary: This paper proposes a solution to the problem of excessive video encoding time after encryption of a high-dimensional chaos encryption algorithm by selectively encrypting chaotic pseudo-random sequences generated by the integer dynamic cross-coupling tent mapping model with key syntax elements in video encoding. Experimental tests were conducted to analyze the effectiveness and security of the proposed algorithm, and the results show that it is effective and secure. The algorithm has low computational cost, does not affect the video compression ratio, and can resist edge detection attacks and substitution attacks, ensuring real-time and reliable video encryption transmission.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Correction
Telecommunications
Narasak Boonthep, Kosin Chamnongthai, Pranithan Phensadsaeng
Summary: The original publication was lacking an Acknowledgement section.
WIRELESS PERSONAL COMMUNICATIONS
(2021)
Article
Engineering, Multidisciplinary
M. A. El-Mowafy, S. M. Gharghory, M. A. Abo-Elsoud, M. Obayya, M. I. Fath Allah
Summary: This paper proposes an efficient mode decision algorithm based on gradient method to improve the compression efficiency of video coding and minimize video quality degradation. The algorithm includes edge detection using Prewitt filter, threshold testing for homogeneity, and Gaussian pulse modulation to reduce bit rate of compressed video. Experimental results show the algorithm outperforms existing fast intra-prediction mode decision algorithms in enhancing BDPSNR and reducing BDBR.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Heiko Schwarz, Muhammed Coban, Marta Karczewicz, Tzu-Der Chuang, Frank Bossen, Alexander Alshin, Jani Lainema, Christian R. Helmrich, Thomas Wiegand
Summary: This paper provides an overview of the quantization and entropy coding methods in the VVC standard, focusing on techniques that improve coding efficiency and discussing motivations and implementation aspects. The effectiveness of these methods is validated by experimental results.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Qingxin Sheng, Chong Fu, Zhaonan Lin, Jiayu Wen, Junxin Chen, Lin Cao, Chiu-Wing Sham
Summary: This paper proposes a fast H.264/AVC selective encryption scheme with syntax-preserving and zero bit rate expansion. By encrypting prediction and residual syntax elements, and using hash function and keystream sequence for encryption, it achieves a high level of security and efficiency.
SIGNAL IMAGE AND VIDEO PROCESSING
(2023)
Article
Engineering, Electrical & Electronic
Stefano Battista, Guido Meardi, Simone Ferrara, Lorenzo Ciccarelli, Florian Maurer, Massimo Conti, Simone Orcioni
Summary: LCEVC is a standalone toolset for enhancing existing codecs, which works on top of other coding schemes, adds enhancement layers independently from the base video, and has high compression efficiency and low complexity.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
