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
Engineering, Electrical & Electronic
Adrian Dziembowski, Dawid Mieloch, Jun Young Jeong, Gwangsoon Lee
Summary: This paper describes two methods to improve the efficiency of the MPEG Immersive Video (MIV) coding standard. The methods manipulate the MIV-formatted atlas videos based on coding principles of commonly used video encoders, enhancing encoding efficiency for immersive video content. The first method, patch average color modification, reduces the number and magnitude of edges in a texture atlas video by removing the constant component of all YCbCr components within each patch. The second method adjusts the dynamic range of the geometry atlas to adapt to the quality of input depth maps. Both methods were incorporated into the Test Model for MPEG Immersive Video (TMIV) and the first method's metadata syntax was adopted as the ISO/IEC 23090-12 standard.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Prateek Agrawal, Anatoliy Zabrovskiy, Adithyan Ilangovan, Christian Timmerer, Radu Prodan
Summary: This paper proposes a new method for fast video transcoding time prediction and scheduling, which consists of three phases to predict and schedule the transcoding time of x264 encoded videos. Experimental results show that the predictive model reduces transcoding errors and time, demonstrating the effectiveness of the method.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Tianliang Fu, Kai Zhang, Li Zhang, Shanshe Wang, Siwei Ma
Summary: This paper proposes an efficient framework to improve reference picture resampling (RPR) in VVC, aiming to reduce bitrate surges and enhance coding performance. Theoretical and statistical analysis demonstrate the contribution of temporal long-distance high-resolution (HR) reference pictures in prediction. The proposed method replaces low-resolution (LR) reference pictures with existing HR reference pictures and introduces an adaptive upsampling filter (AUF) for accurate restoration of original resolution images. Simulation results show significant BD-rate savings and reduced bitrate surges under different RPR configurations.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
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
Jaroslaw Samelak, Adrian Dziembowski, Dawid Mieloch
Summary: This paper introduces the modified HEVC Screen Content Coding for use as an internal video coding of the MPEG Immersive Video codec. By proposing three additional improvements, including analysis of quarter-pel accuracy in intra block copy technique and addition of MIV bitstream parser, the efficiency of immersive video coding is increased.
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)
Article
Computer Science, Theory & Methods
Yu Wang, Yun Cao, Xianfeng Zhao
Summary: The paper introduces a novel coding strategy for minimizing distortion in H.264 steganography using QDCT coefficients, which significantly enhances embedding performance by making necessary modifications to the standard trellis coding structure for joint compression embedding scenarios.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2021)
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
Engineering, Electrical & Electronic
Stefano Battista, Guido Meardi, Simone Ferrara, Lorenzo Ciccarelli, Florian Maurer, Massimo Conti, Simone Orcioni
Summary: This paper presents the methodology and results of a test campaign conducted to develop the Low Complexity Enhancement Video Coding (LCEVC) ISO standard. LCEVC is a video coding technology that can complement any single-layer video coding technology to re-encode the residuals between the original video and its compressed representation. The paper describes the verification test methodology, including requirements, test conditions, test sequences, and metrics, and reports the results of objective and subjective tests applying this methodology. It also presents the bitrate savings achieved with LCEVC when used in conjunction with four video codecs (AVC, HEVC, EVC, VVC).
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Qi Liu, Hui Yuan, Junhui Hou, Raouf Hamzaoui, Honglei Su
Summary: This study focuses on the quality of 3D point cloud compression in videos, proposing a solution to optimize geometry and color distortions. By formulating the joint bit allocation problem as a constrained convex optimization problem, the study successfully demonstrates close rate-distortion performance to exhaustive search at significantly lower time complexity.
IEEE TRANSACTIONS ON MULTIMEDIA
(2021)
Article
Engineering, Electrical & Electronic
Yi Chen, Meng Wang, Shiqi Wang, Zhangkai Ni, Sam Kwong
Summary: In this paper, a rate control scheme is proposed for screen content video coding in the VVC standard. The method relies on pre-analysis to obtain content information and incorporates complexity-aware rate models and distortion models to achieve optimal bit allocations. Experimental results demonstrate the effectiveness of the proposed method in improving coding performance.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Zhenyu Guan, Qunliang Xing, Mai Xu, Ren Yang, Tie Liu, Zulin Wang
Summary: This paper proposes a Multi-Frame Quality Enhancement (MFQE) approach for compressed video, utilizing a Multi-Frame Convolutional Neural Network to enhance the quality of low-quality frames and improve the overall quality of compressed video.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(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
Yunhao Mao, Meng Wang, Zhangkai Ni, Shiqi Wang, Sam Kwong
Summary: This work proposes a neural network based rate control algorithm for VVC, which models the relationships between rate-distortion and distortion-quantization based on prediction residuals. Experimental results show that the algorithm achieves BD-Rate savings and provides more stable buffer status.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2023)