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8th International Conference on ICT & Accessibility (ICTA)

作者： Mindula, Bojitha Ranasinghe, Malith Ahamed, Rushdy Tennakoon, Jayani Silva, Chamari Wimalarathne, Geethanjali Sri Lanka Inst Informat Technol Malabe Sri Lanka

ISBN: (纸本)9781665466417

At present, with the increase in vehicle usage, most of the people in Sri Lanka tend to use expressways due to many reasons like time-saving and less traffic. The number of accidents that occur in expressways are drastically increasing in recent years. Most of these accidents are occurred due to the violation of the rules established in the expressways. We have identified some of the major rule violations that are done by most of the people who are using expressways. They are speed violation, parking violation, and reverse violation. Because of these violations, lots of accidents occur causing severe damages to properties and sometimes cause the death of the people. Therefore, detecting these violations is a major concern. In this paper, we have suggested a method to detect the above-mentioned violations. The system we have implemented includes four major components that include vehicle type detection, detecting the over-speed driving vehicles in the expressways, detecting vehicles that are illegally parking in the expressway, and detecting vehicles that are traveling in the reverse direction in the expressways. The inputs to the system are the videos obtained from the surveillance cameras that are in the expressways in Sri Lanka. The system processes these input videos using image and video processing techniques and detects the vehicles that are violating the above-mentioned violations as the output. And the system implemented is user-friendly, detects the vehicles with good accuracy, and is very costeffective. This system detects the mentioned rules violations automatically with a 95% accuracy. The proposed system works as a real-time application.

关键词： rule violation image and video processing vehicle type detection over speed driving convolutional neural networks (CNNs) you only look once version 3(YOLOv3) illegally parking traveling in the reverse direction

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Design Methodology to Explore Hybrid Approximate Adders for Energy-Efficient image and video processing Accelerators

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS 2019年第6期66卷 2137-2150页

作者： Soares, Leonardo Bandeira Azevedo da Rosa, Morgana Macedo Diniz, Claudio Machado Cesar da Costa, Eduardo Antonio Bampi, Sergio Univ Fed Rio Grande do Sul Grad Program Microelect BR-91501970 Porto Alegre RS Brazil Univ Catolica Pelotas Grad Program Elect Engn & Comp Sci BR-96015560 Pelotas Brazil

This paper proposes a new design methodology to explore the state-of-the-art approximate adders for accelerator architectures conceived in the realm of multiplier-less multiple constant multiplication optimization problem. The proposed methodology is composed of: 1) a search heuristic to seek faster and feasible approximate configurations for the architectures under evaluation;2) low-power techniques regarding hybrid approximate adders design for accelerators based on trees of shift-and-add operations;3) high-performance evaluation by exploring parallel prefix adders and low power analysis through the use of the adder optimized by a commercial synthesis tool in the precise part of the approximate adders;and 4) energy efficiency analysis by considering both the approximate techniques and voltage over scaling estimation. Furthermore, improvements are proposed for the state-of-the-art approximate adders under evaluation in this paper. Two case studies are considered to assess the proposed methodology: 1) Gaussian image filter and 2) Sobel operator. The precise and approximate image filters were described in very high-speed integrated circuits hardware description language regarding the proposed methodology. Results are shown after synthesis to a 45-nm standard cell-based technology, where energy reductions ranging from 7.7% up to 73.2% were experienced for multiple levels of quality considering the applications under analysis.

关键词： image and video processing energy efficiency approximate computing adders multiplier-less multiple constant multiplication

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Smart Traffic Light Scheduling in Smart City Using image and video processing 3

Smart Traffic Light Scheduling in Smart City Using Image and...

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3rd International Conference on Internet of Things and Applications (IoT)

作者： Razavi, Meisam Hamidkhani, Mehdi Sadeghi, Rasool Islamic Azad Univ Dept Comp Engn Dolatabad Branch Esfahan Iran Islamic Azad Univ Dept Elect Engn Dolatabad Branch Esfahan Iran

ISBN: (纸本)9781728134772

The growing population and increased vehicles lead to the main challenges in urban life. Therefore, the role of traffic management will save time and fuel consumption and reduce environmental pollution. In recent years, Internet of Things (IoT) and smart cities drive a new field of intelligent traffic management. In this paper, a new method for traffic light control is presented by using the combination of IoT and image and video processing techniques. In the proposed models, traffic light scheduling is determined based on the density and the number of passing vehicles. Moreover, it is implemented by Raspberry-Pi board and OpenCV tool. The analytical and experimental results indicate the efficiency provided by the proposed models in intelligent traffic management.

关键词： Internet of things Smart city Traffic management Raspberry Pi image and video processing

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Real-time image and video processing: Method and architecture 2

Real-time Image and Video Processing: Method and architectur...

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2nd International Conference on Advanced Technologies for Signal and image processing (ATSIP)

作者： Kechiche, Lilia Touil, Lamjed Ouni, Bouraoui Lab Elect & Microelect Monastir Tunisia

ISBN: (纸本)9781467385268

Nowadays, image and video processing applications are becoming widely used in many domains including industrials, medical imaging, manufacturing, and security systems. Real time image and video processing is a very demanding task as it needs to perform high computations for a big amount of data represented by the image, and the complex operations, which may need to be performed on the image. For these reasons, there is a move toward hardware solutions, which are known to be faster for such treatments. Embedded hardware systems are knowing an explosive growth in manufacturing and usage. Designing such systems is becoming critical task, as implementation technology is oriented toward complex functionalities with an increasing time to market pressure. To resolve these issues, the combination of appropriate methodology and architecture to ensure reuse and control over time and cost is a challenging idea. In this context, we explore the principle of PBD (Platform Based Design) as a design methodology that favors system reuse and allows the exploration of the trade-offs between different design requirements. We have used the PBD to design a real time video acquisition and display module. The proposed module is implemented on Virtex-5 FPGA.

关键词： FPGA platform based design embedded systems real time image and video processing

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Self-Supervised image Harmonization via Region-Aware Harmony Classification

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COMPUTER GRAPHICS FORUM 2025年

作者： Tian, Chenyang Wang, Xinbo Zhang, Qing Sun Yat Sen Univ Sch Comp Sci & Engn Guangzhou Peoples R China

image harmonization is a widely used technique in image composition, which aims to adjust the appearance of the composited foreground object according to the style of the background image so that the resulting composited image is visually natural and appears to be photographed. Previous methods are mostly trained in a fully supervised manner, while demonstrating promising results, they do not generalize well to complex unseen cases involving significant style and semantic difference between the composited foreground object and the background image. In this paper, we present a self-supervised image harmonization framework that enables superior performance on complex cases. To do so, we first synthesize a large amount of data with wide diversity for training. We then develop an attentive harmonization module to adaptively adjust the foreground appearance by querying relevant background features. To allow more effective image harmonization, we develop a region-aware harmony classifier to explicitly judge whether an image is harmonious or not. Experiments on several datasets show that our method performs favourably against previous methods. Our code will be made publicly available.

关键词： image and video processing

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Adversarial Interactive Cartoon Sketch Colourization with Texture Constraint and Auxiliary Auto-Encoder

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COMPUTER GRAPHICS FORUM 2023年第6期42卷 e14797-e14797页

作者： Liu, Xiaoyu Zhu, Shaoqiang Zeng, Yao Zhang, Junsong Xiamen Univ Sch Informat Dept Artificial Intelligence Xiamen Peoples R China Cent China Normal Univ NERCEL Wuhan Peoples R China Xiamen Univ Key Lab Digital Protect & Intelligent Proc Intangi Minist Culture & Tourism Xiamen Peoples R China

Colouring cartoon sketches can help children develop their intellect and inspire their artistic creativity. Unlike photo colourization or anime line art colourization, cartoon sketch colourization is challenging due to the scarcity of texture information and the irregularity of the line structure, which is mainly reflected in the phenomenon of colour-bleeding artifacts in generated images. We propose a colourization approach for cartoon sketches, which takes both sketches and colour hints as inputs to produce impressive images. To solve the problem of colour-bleeding artifacts, we propose a multi-discriminator colourization framework that introduces a texture discriminator in the conditional generative adversarial network (cGAN). Then we combined this framework with a pre-trained auxiliary auto-encoder, where an auxiliary feature loss is designed to further improve colour quality, and a condition input is introduced to increase the generalization ability over hand-drawn sketches. We present both quantitative and qualitative evaluations, which prove the effectiveness of our proposed method. We test our method on sketches of varying complexity and structure, then build an interactive programme based on our model for user study. Experimental results demonstrate that the method generates natural and consistent colour images in real time from sketches drawn by non-professionals.

关键词： image and video processing

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Two-Step Training: Adjustable Sketch Colourization via Reference image and Text Tag

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COMPUTER GRAPHICS FORUM 2023年第6期42卷 e14791-e14791页

作者： Yan, Dingkun Ito, Ryogo Moriai, Ryo Saito, Suguru Tokyo Inst Technol Dept Comp Sci Meguro Ku Tokyo Japan

Automatic sketch colourization is a highly interestinged topic in the image-generation field. However, due to the absence of texture in sketch images and the lack of training data, existing reference-based methods are ineffective in generating visually pleasant results and cannot edit the colours using text tags. Thus, this paper presents a conditional generative adversarial network (cGAN)-based architecture with a pre-trained convolutional neural network (CNN), reference-based channel-wise attention (RBCA) and self-adaptive multi-layer perceptron (MLP) to tackle this problem. We propose two-step training and spatial latent manipulation to achieve high-quality and colour-adjustable results using reference images and text tags. The superiority of our approach in reference-based colourization is demonstrated through qualitative/quantitative comparisons and user studies with existing network-based methods. We also validate the controllability of the proposed model and discuss the details of our latent manipulation on the basis of experimental results of multi-label manipulation.

关键词： colour image and video processing image video editing

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Extending function mixture network for improved spectral super-resolution

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COMPUTER VISION AND image UNDERSTANDING 2023年 237卷

作者： Hussain, Sadia Lall, Brejesh IIT Delhi New Delhi 110016 India

Hyperspectral image reconstruction from RGB images is a low-cost , convenient alternative to acquiring hyperspectral images directly. The challenge in estimating the spectral response function and using it for generating the hyperspectral image data is addressed effectively by the use of convolutional neural networks for the task. The accuracy of the reconstruction techniques is improving and effective architectures are being adapted for the purpose. Specifically, in a recent work the authors propose the use of Function Mixture Network, to model the mapping from RGB to hyperspectral. This technique benefits from the use of an adaptive spatial receptive field, however, given that the goal is spectral superresolution additional use of adaptive spectral field is prudent. Accordingly, in this paper we propose an improved Function Mixture Network based reconstruction technique by additionally incorporating a variable spectral receptive field. The proposed updates have resulted in significant gains in performance as is demonstrated by the experiments conducted over multiple datasets. An additional update to the architecture is the use of non-convolutional branches in the function mixture network. The experiments of three standard datasets, clearly demonstrate the superiority of the proposed technique for hyperspectral image reconstruction based on RGB data.

关键词： image and video processing Enhancement Restoration Coding Compression Super-resolution Filtering image and video processing Enhancement image and video processing image and video processing image and video processing image and video processing image and video processing image and video processing Restoration image and video processing image and video processing image and video processing image and video processing image and video processing image and video processing Enhancement Enhancement Enhancement Enhancement Enhancement Enhancement Coding Enhancement Enhancement Enhancement Enhancement Enhancement Enhancement Restoration Restoration Restoration Restoration Restoration Restoration Compression Restoration Restoration Restoration Restoration Restoration Restoration Coding Coding Coding Coding Coding Coding Super-resolution Coding Coding Coding Coding Coding Coding Compression Compression Compression Compression Compression Compression Filtering Compression Compression Compression Compression Compression Compression Super-resolution Super-resolution Super-resolution Super-resolution Super-resolution Super-resolution Super-resolution Super-resolution Super-resolution Super-resolution Super-resolution Super-resolution Filtering Filtering Filtering Filtering Filtering Filtering Filtering Filtering Filtering Filtering Filtering Filtering

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A Hybrid Cache Architecture with 2D-based Prefetching Scheme for image and video processing

A Hybrid Cache Architecture with 2D-based Prefetching Scheme...

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2nd IEEE International Conference on Communications and Signal processing (ICCSP)

作者： Zhou, Ni Qiao, Fei Yang, Huazhong Tsinghua Univ Dept Elect Engn Inst Circuits & Syst Beijing 100084 Peoples R China

ISBN: (纸本)9781467348669;9781467348652

In this paper, a hybrid cache architecture with high versatility and a wide range of applications is proposed, which is effective in image and video processing. Meanwhile, a new 2D-based prefetching scheme for image and video processing, fully exploiting two dimension data locality, is used in this cache. In this scheme, Prefetching Address Generation (PAG) and Prefetching Time Generation (PTG) are adopted to enhance the accuracy and effectiveness. The experiment results show that 2D-based prefetching scheme can achieve 30% reduction in cache miss rate and accordingly 30% total access time for 2D memory access pattern (dct). This new hybrid cache is verified in JPEG decoder, MPEG-2 decoder and H. 264 decoder.

关键词： image and video processing cache architecture prefetching 2D-based prefetching

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Efficient FPGA architecture to implement non-separable fast Fourier transform for image and video applications

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INTERNATIONAL JOURNAL OF ELECTRONICS 2023年第4期110卷 631-647页

作者： Sarkar, Sayantam Bhairannawar, Satish S. MVJ Coll Engn Dept Elect & Commun Engn Bangalore Karnataka India Shri Dharmasthala Manjunatheshwara Coll Engn & Te Dept Elect & Commun Engn Dharwad Karnataka India

Fast Fourier Transform (FFT) is widely used in image and video processing applications to convert the respective image or video frames into transform domain that is very helpful to extract the accurate features of that image or video frame for various real-time applications. In this paper, efficient non-separable 8-point FFT architecture (DIT-FFT) is proposed that is implemented on Spartan-6 (xc6slx45-3csg324) FPGA. The proposed architecture consists of Data Format Conversion, Addition, Subtraction, Multiplier Equivalent and D-FF blocks, respectively. The non-separable equations of 8-point DIT-FFT are derived from the respective Butterfly Diagram that is then implemented using basic logic gates, which optimises the hardware utilisations with the help of Complex Conjugate property. The constant multiplications present in the non-separable DIT-FFT equations are implemented through Adders and Shifters presents in Multiplier Equivalent block which further optimises the overall hardware utilisations. Moreover, the Q-format are used to increase the data accuracy of the architecture. The comparison results show that the proposed architecture is better than existing in different prospectives.

关键词： Fast Fourier transform (FFT) Field Programmable Gate Arrays (FPGA) hardware architecture Hardware Description Language (HDL) image and video processing

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