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.
Correction
Telecommunications
Narasak Boonthep, Kosin Chamnongthai, Pranithan Phensadsaeng
Summary: The original publication was lacking an Acknowledgement section.
WIRELESS PERSONAL COMMUNICATIONS
(2021)
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)
Correction
Telecommunications
Narasak Boonthep, Kosin Chamnongthai
Summary: The Acknowledgement section was missing in the original publication and has been corrected.
WIRELESS PERSONAL COMMUNICATIONS
(2021)
Article
Telecommunications
S. K. Veena, Mahesh K. Rao
Summary: The study introduces an optimal video codec model to handle the tradeoff between visual perception and compression issues in video coding by introducing a novel optimized modeling of the intra-frame prediction method. The design and development of the method are extensively carried out from an analytical viewpoint, emphasizing a significant reduction in encoding time. The experimental and numerical analysis shows that the proposed modeling of the optimized estimation of intra-frame prediction outperforms the conventional approach in terms of visual perception, evaluated in Peak Signal-To-Noise Ratio (PSNR), bit rate, and encoding time.
WIRELESS PERSONAL COMMUNICATIONS
(2021)
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
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
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)
Article
Engineering, Electrical & Electronic
Kai Lin, Chuanmin Jia, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao
Summary: In this paper, an innovative motion modeling approach is proposed by decomposing it into two components: intrinsic motion and compensatory motion. The intrinsic motion captures the implicit spatiotemporal context in the historical sequence, while the compensatory motion acts as side information for structural refinement and texture enhancement. By decomposing motion, this method addresses the questions of motion representation, compensation, and coding in the learned video compression framework.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2023)
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
Computer Science, Artificial Intelligence
Thuc Nguyen Huu, Vinh Van Duong, Jonghoon Yim, Byeungwoo Jeon
Summary: Plenoptic images and videos require a large amount of data storage and high transmission cost. This paper investigates motion compensation for plenoptic video coding in the ray-space domain. A novel motion compensation scheme is proposed and integrated into well-known video coding techniques such as HEVC. Experimental results show significant compression efficiency improvement compared to existing methods under different configurations of HEVC.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2023)
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
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
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
Computer Science, Hardware & Architecture
Luiz Neto, Marcel Correa, Daniel Palomino, Luciano Agostini, Guilherme Correa
Summary: This article presents a configurable intraframe prediction architecture for AV1 video coding format, aiming to balance power consumption and quality.
IEEE DESIGN & TEST
(2022)
Article
Engineering, Electrical & Electronic
Iago Storch, Luciano Agostini, Bruno Zatt, Sergio Bampi, Daniel Palomino
Summary: This paper presents FastInter360, a fast inter mode decision algorithm for accelerating the encoding of ERP 360 videos. The algorithm exploits the specific behavior of the encoder when encoding 360 videos, which is due to texture distortions resulting from projection. FastInter360 comprises three algorithms that reduce encoding complexity by performing early decision, reducing motion estimation search range, and adjusting motion estimation precision. These algorithms behave differently based on distortion intensity, achieving a significant reduction in complexity without sacrificing coding efficiency.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Morgana M. A. da Rosa, Eduardo A. C. da Costa, Leandro Giacomini Rocha, Guilherme Paim, Sergio Bampi
Summary: This paper presents a new radix-2(m) squarer unit that is in demand for a variety of applications, showing higher energy savings compared to other units.
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Electrical & Electronic
Pedro Taua Lopes Pereira, Guilherme Paim, Eduardo Antonio Cesar da Costa, Sergio Jose Melo de Almeida, Sergio Bampi
Summary: This paper proposes a reconfigurable datapath architecture, ReAdapt, for scaling the energy-quality trade-off of adaptive filtering at runtime. The architecture dynamically selects different levels of filter algorithms complexity and achieves a compact hardware implementation by reusing common modules. Experimental results demonstrate a balanced trade-off between energy and quality, and the dynamic reconfiguration at runtime outperforms the conventional static mode for different signal-to-noise ratio levels.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2023)
Article
Engineering, Electrical & Electronic
Gerson Andrade, Matheus Silva, Cinthia Schneider, Guilherme Paim, Sergio Bampi, Eduardo Costa, Alexandra Zimpeck
Summary: This brief examines the robustness of the 3-2 AC against process, voltage, and temperature (PVT) variations in a predictive ASAP7 7nm FinFET technology. The impact of these variations on delay, power, and product-delay-power (PDP) of the 3-2 AC in super- and near-threshold voltage operating regimes is evaluated. The results show that process variation is the main concern, with near-threshold operation having a more severe level of variability.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Computer Science, Hardware & Architecture
Morgana Macedo Azevedo da Rosa, Guilherme Paim, Patricia Ucker Leleu da Costa, Eduardo Antonio Cesar da Costa, Rafael Soares, Sergio Bampi
Summary: Addition units are widely used in error-tolerant applications and serve as building blocks for various math operations. Parallel prefix adders (PPAs) are among the fastest adders due to their optimization of carry generation and propagation. This research introduces approximate PPAs and compares them with energy-efficient approximate adders, showing improved energy-quality and area-quality results.
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
(2023)
Article
Computer Science, Hardware & Architecture
Jones William Goebel, Luciano Volcan Agostini, Bruno Zatt, Marcelo Schiavon Porto
Summary: AV1 is a royalty-free and open-source video codec released in 2018, aiming to process UHD 8K and 4K videos with high coding efficiency. This article presents the hardware design of AVID, a dedicated decoder for AV1 intraprediction, which achieves a decoding rate of 120 frames/s for UHD 4K videos.
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Brunno Alves de Abreu, Albi Mema, Simon Thomann, Guilherme Paim, Paulo Flores, Sergio Bampi, Hussam Amrouch
Summary: This study develops CMOS-compatible compact majority (MAJ) and minority (MIN) logic gates using the body biasing feature in fully depleted silicon on insulator (FDSOI) technology. The proposed MAJ/MIN gates require considerably fewer transistors compared to their CMOS counterparts. Previous research on using MAJ/MIN gates for logic synthesis has been limited due to their large area requirement when implemented with conventional standard cells. In contrast, the FDSOI-based MAJ/MIN gates in this study leverage mature CMOS commercial technologies. SPICE simulations and error injection analysis demonstrate that MAJ/MIN-based circuits exhibit excellent resilience against errors, making them suitable for safety-critical applications where reliability is crucial.
IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS
(2023)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Morgana M. A. da Rosa, Patricia da Costa, Guilherme Paim, Eduardo da Costa, Rafael Soares, Sergio Bampi
Summary: Approximate computing is applied in the calibration procedure for radio astronomy called StEFCal to maximize area and energy savings. The StEFCal circuit uses various approximate arithmetic operators to achieve a trade-off between quality and efficiency. The results demonstrate that combining AxRSU with the NR divider significantly improves the Mean Square Error (MSE) and achieves substantial energy savings compared to the state-of-the-art.
2023 IEEE 14TH LATIN AMERICA SYMPOSIUM ON CIRCUITS AND SYSTEMS, LASCAS
(2023)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Jiovana Sousa Gomes, Tulio Pereira Bitencourt, Sergio Bampi, Fabio Luis Livi Ramos
Summary: Video processing is necessary in today's society due to the wide consumption of video content. Video coding formats or standards are used to handle the large amount of data generated. The AV1 format is a recent alternative that efficiently encodes video and aims to be royalty-free. This paper introduces a novel Multi-Boolean Approach for the AV1 Arithmetic Decoder design, which involves processing multiple Boolean symbols in parallel to improve throughput. An analysis of different hardware architectures is conducted, and it is concluded that the best trade-off choice is to use two Boolean symbols in parallel with a multicycle AV1 arithmetic decoder circuit.
2023 IEEE 14TH LATIN AMERICA SYMPOSIUM ON CIRCUITS AND SYSTEMS, LASCAS
(2023)
Proceedings Paper
Computer Science, Theory & Methods
Tim Buecher, Lilas Alrahis, Guilherme Paim, Sergio Bampi, Ozgur Sinanoglu, Hussam Amrouch
Summary: The globalization of the Integrated Circuit (IC) market has attracted more partners and extended the supply chain, leading to security concerns, particularly in terms of Reverse Engineering (RE). Applying Approximate Computing (AxC) principles to circuits improves their resistance against RE, even for the powerful Graph Neural Networks (GNNs) used in functional RE. To address the challenges of AxC in RE, the promising AppGNN platform enables accurate classifications and reverse engineering of circuit functionality. The framework achieves this through a novel graph-based node sampling approach, leading to improved classification accuracy.
2022 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER AIDED DESIGN, ICCAD
(2022)
Proceedings Paper
Computer Science, Hardware & Architecture
Marcel Correa, Daniel Palomino, Guilherme Correa, Luciano Agostini
Summary: This study presents a fast decision algorithm and hardware design for AV1 intra prediction, aiming to reduce prediction time and achieve low-power hardware design. The experiments showed that implementing the proposed algorithm in the AV1 reference encoder resulted in an average reduction of 22.56% in encoding time.
2022 35TH SBC/SBMICRO/IEEE/ACM SYMPOSIUM ON INTEGRATED CIRCUITS AND SYSTEMS DESIGN (SBCCI 2022)
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Morgana M. A. da Rosa, Guilherme Paim, Henrique B. Seidel, Sergio Almeida, Eduardo A. C. da Costa, Sergio Bampi
Summary: In this study, an approximate level-3 Haar wavelet transform method is proposed for ECG signal processing. Compared to the exact transform, this method significantly reduces energy consumption and VLSI hardware area while improving R-peak detection accuracy. Our method outperforms the state-of-the-art approximate level-4 Haar wavelet transform in terms of power dissipation and hardware area.
PROCEEDINGS OF THE 2022 15TH IEEE DALLAS CIRCUITS AND SYSTEMS CONFERENCE (DCAS 2022)
(2022)
Article
Computer Science, Information Systems
Pedro Toledo, Paolo S. Crovetti, Hamilton D. Klimach, Francesco Musolino, Sergio Bampi
Summary: This paper presents the operational principle and silicon characterization of a power efficient ultra-low voltage and ultra-low area fully-differential, digital-based Operational Transconductance Amplifier (OTA) for microscale biosensing applications (BioDIGOTA). The measured results of 180nm CMOS prototypes show that the proposed BioDIGOTA can operate with a supply voltage as low as 400 mV, consuming only 95 nW. Due to its highly digital nature, the BioDIGOTA layout occupies only 0.022 mm(2) of total silicon area, reducing the area by 3.22 times compared to the current state of the art while maintaining reasonable system performance.