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检索条件"任意字段=Algorithms and Systems for Optical Information Processing VI"

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Automated Document processing: Combining OCR and Generative AI for Efficient Text Extraction and Summarization

Automated Document Processing: Combining OCR and Generative ...

引用

2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical systems, ICSES 2024

作者： Abinaya, G. Rao, Guttulapavan Durga Gopal, Pragada Sri Ram Kaushik, M. vignesh, B. Sai Venkata Srmist Department of Networking and Communications Chennai603203 India

ISBN: (纸本)9798331543617

Technological advancement including the use of new media formats in creating digital documents calls for the development of enhanced processing techniques and methods. Old school optical Character Recognition (OCR) tools remain useful but are inadequate when faced with sophisticated documents or low-quality scans. Also, summarizing the textual content of such papers continues to be a manual process and adds inefficiency and potential errors in information gathering. Finally, an integrated approach to the automation of both text extraction and summarization based on improved OCR and Google Gemini's generative AI technique is presented in this paper. By using more precise OCR algorithms, the system greatly increases accurate text recognition from poorly quality scans or complex structures. At the same time, the employment of generative AI models contributes to the formulation of brief and relevant summaries and also improves document retrieval and handling. Its effectiveness has thus been confirmed by testing on a variety of documents, and it has increased both accuracy and utility compared to previous techniques. © 2024 IEEE.

关键词： optical character recognition

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Sparse Recovery Space Time Adaptive processing Based on Log-Determinant 15

Sparse Recovery Space Time Adaptive Processing Based on Log-...

引用

15th International Conference on Signal processing systems, ICSPS 2023

作者： Chang, Yuqing Du, Xiaolin Jin, Biao Tian, Tuanwei Li, Jianbo School of Computer and Control Engineering Yantai University Yantai China Ocean College Jiangsu University of Science and Technology Zhenjiang China School of Physics and Electronics Henan University Kaifeng China School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing China

ISBN: (纸本)9781510675056

Airborne radars usually face non-uniform clutter environments, and it is difficult to obtain enough independent and identical distributed (i.i.d.) training samples, which degrades the clutter suppression performance of space time adaptive processing (STAP). To address the problem, a log-determinant sparse rocovery based STAP (LSR-STAP) method is proposed in this paper. Through the sparse recovery theory of low-rank matrices and the prior knowledge of clutter covariance matrices, the corresponding problem is modeled using the log-determinant (LogDet) approximation of the rank function, and the solution of the resulting nonconvex optimization problem is derived in the framework of the symmetric alternating direction method of multipliers (S-ADMM). The simulation results show the superiority of the proposed method over similar algorithms. © 2024 SPIE.

关键词： Space time adaptive processing

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Strengthen Aircraft Real-Time Multiple Object Tracking with optical Flow and Histogram of Oriented Gradient Provided HSMA Implemented in Low-Cost Energy VPU for UAV 3

Strengthen Aircraft Real-Time Multiple Object Tracking with ...

引用

3rd International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2023

作者： Mohamed, Benaly Hajar, El Karch Noura, Jariri Rachid, El Gouri Lamaari, Hlou Abdelkader, Mezouari Ibn Tofail University Laboratory of Electronic Systems Information Processing Mechanics and Energetics Faculty of Sciences Kenitra Morocco National School of Applied Sciences Ibn Tofail University Laboratory of Advanced Systems Engineering Kenitra Morocco

ISBN: (纸本)9798350398366

Researchers and algorithm developers have always strived to make tracking more accurate than before, by developing deferents algorithms that prove their efficiency and effectiveness in international competitions (VOT, MOT challenge,...), but taking care of one side without others may be the reason why limiting the fields of application of that software, which makes them confined only to these competitions or confined to applications domains without others and this is not the end object in itself. For example, the use of complex tracking algorithms in the drone makes the processing unit very slow and unsuitable for real-time tracking, instead that the use of highly efficient processing systems for acceleration consumes a lot of energy, which reduces the time the drone stays in flight. In this paper, we suggest our approach;HashSet Matching Algorithm (HSMA) provided by optical Flow appearance features and HOG for developing an object-tracking algorithm to address the issue of a complex MOT algorithm for real-time tracking. The MOT challenge data-set experiment results show that the suggested technique can handle object occlusion difficulties successfully while reducing processing time. This algorithm is implemented in the vision processing Unit (VPU) to enhance the time flying of UAVs and to ensure low energy consumption. Our approach performs very well in real application scenarios, demonstrating that it is more practical. © 2023 IEEE.

关键词： optical flows

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Evolution of real-time processing of visual information over four decades: a retrospective as outlook to the future of real-time imaging

Evolution of real-time processing of visual information over...

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Real-time processing of Image, Depth and video information 2023

作者： Carlsohn, Matthias F. Engineering and Consultancy Dr. Carlsohn for Computer Vision and Image Communication Bremen Germany

ISBN: (数字)9781510662636

ISBN: (纸本)9781510662629

The expectations and demands for real-time performance for processing of visual information usually overloaded contemporary computer systems at all times. Increasing hardware performance enabled the use of more complex analysis and vice versa. For a long time, this led to a mutual fertilization of electronics and computer programs or architectures and algorithms with coherent data structures. Appropriate tool sets marked corner stones and boosted some significant developments. However, up to now one got always the impression that the requirements were always heading the possible performance and the open question becoming more serious is: where will it end? This paper provides a short rush through four decades of real-time image processing with a conclusion for an outlook into future opportunities and current developments providing guidelines to host corresponding research results by this conference in the coming years. New concepts, programming paradigms and production technologies are paving the way for future image processing solutions providing real-time capabilities. © 2023 SPIE.

关键词： Parallel architectures

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Ethernet Data Distribution Service Data processing Method 2

Ethernet Data Distribution Service Data Processing Method

引用

2nd International Conference on algorithms, Microchips, and Network Applications, AMNA 2023

作者： Wu, Yu Li, Xiaoya Hu, Huiyang China Flight Test Research Institute Testing Institute China

ISBN: (纸本)9781510664791

With the rapid development of aviation electromechanical technology, new aircraft are equipped with a large number of sensors and electronic control devices. In order to meet the data transmission requirements of avionics systems, Ethernet Data Distribution (DDS) protocol has gradually become the standard solution for published/subscribed data in distributed real-time systems. Facing the new requirements of bus data processing using DDS protocol, starting from the characteristics and format of Ethernet DDS data recording, this paper gives the overall architecture and core processing method of the processing software. This paper analyzes the key problems of Ethernet DDS data processing, and proposes solutions for DDS bus interface control document (ICD) plane structure, multi-level parallel data processing algorithm, data detection and filtering. The method is validated and can correctly process Ethernet DDS data. © 2023 SPIE.

关键词： Ethernet

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An Adaptive Clock Recovery Algorithm for Differentiated Roll-Off Characteristics in Gridless optical Network

An Adaptive Clock Recovery Algorithm for Differentiated Roll...

引用

2024 Asia Communications and Photonics Conference, ACP 2024 and International Conference on information Photonics and optical Communications, IPOC 2024

作者： Deng, Chaoyu Wang, Fu Zhang, Qi Tian, Qinghua Gao, Ran Dong, Ze Tian, Feng Xin, Xiangjun School of Electronic Engineering Beijing University of Posts and Telecommunications Beijing China School of Information and Electronics Beijing Institute of Technology Beijing China

ISBN: (纸本)9798350379266

In elastic optical networks, multi-granularity channels with different bandwidth impose higher demands on the digital signal processing (DSP) algorithms of *** regular DSP approaches, the clock recovery algorithm is sensitive to data *** Gardner algorithm and its modification methods struggle to dynamically adapt the different roll-off factors based on the data rate to approach the Shannon *** enhance the clock recovery performance for optical signals with different rates to improve spectral efficiency, this paper proposes a clock synchronization method based on an adaptive module to fit different roll-off *** designing a multi-channel roll-off factor loop algorithm, the method dynamically adapts to different signals transmitted over various ***, we proposed an adaptive clock recovery algorithm and conduct simulations via MATLAB to show the proposed approach can decrease the timing error jitter and improve convergence *** high roll-off systems, the proposed algorithm increases the convergence speed by 12%, and, in low roll-off systems, decreases the timing error jitter by about 52% and 33%. © 2024 IEEE.

关键词： Timing jitter

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Surface segmentation method based on multi-feature fusion for regionally grown workpiece point clouds 4

Surface segmentation method based on multi-feature fusion fo...

引用

4th International Conference on Image processing and Intelligent Control, IPIC 2024

作者： Zhao, Haoxi Zhang, Zhijia Wang, Hongyu School of artificial Intelligence Shenyang University of Technology Shenyang China

ISBN: (纸本)9781510682313

In order to improve the segmentation accuracy of 3D point cloud model in feature ambiguous region, the unsupervised clustering algorithm based on surface fusion features combines the depth residuals with the normal deviation angle to form the fusion features with good descriptive properties and significant differentiation. Adopting the point cloud local density median proximity points as the candidate points for point cloud region growth, using point cloud cluster features instead of individual point features, for the problem of feature ambiguity in the edge region, the unattributed points are reclustered, so as to improve the cluster segmentation in the way of extended growth;experiments are conducted on the selected model dataset, and the results show that the method can achieve the reasonable segmentation of the complex point cloud model, and the under-segmentation situation has a obvious improvement on the under-segmentation situation. © 2024 SPIE.

关键词： Point clouds Image segmentation 3D modeling Feature fusion Fuzzy logic Spherical lenses Evolutionary algorithms Feature extraction Image processing algorithms and systems Object recognition

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An Improved Affine Projection Tanh Algorithm for Robust Adaptive Filtering 15

An Improved Affine Projection Tanh Algorithm for Robust Adap...

引用

15th International Conference on Signal processing systems, ICSPS 2023

作者： Song, Pucha Zhao, Haiquan Luo, Li School of Electronic Information and Electrical Engineering Chengdu University Chengdu China School of Electrical Engineering Southwest Jiaotong University Chengdu China

ISBN: (纸本)9781510675056

Recently, an affine projection tanh (APT) algorithm has been designed based on optimization criteria with hyperbolic tangent function constraints. However, there is a significant steady-state error in the APT algorithm. To address this drawback, this article presents an improved APT (IAPT) algorithm based on the optimization framework with hyperbolic tangent function square constraints. It is shown that the proposed IAPT algorithm displays strong robustness, higher convergence speed, and smaller estimation error compared to affine projection (AP) algorithm, AP sign algorithm (APSA) and APT algorithms under the impulsive noise disturbance in the system identification application scenario. © 2024 SPIE.

关键词： Impulse noise

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The information Bottleneck Method in Deep Learning: Principles, Applications and Challenges

The Information Bottleneck Method in Deep Learning: Principl...

引用

2024 IEEE International Conference on Signal processing, information, Communication and systems, SPICSCON 2024

作者： Siddiky, Md Nurul Absar Badhon, Rashadul Hasan Rahman, Muhammad Enayetur Salman, M.M. Sohag, Md Soyaib Hossain Dept. of ECE UNC at Charlotte CharlotteNC28223 United States Dept. of ECE Old Dominion University NorfolkVA23508 United States Dept. of ECE Khulna University Khulna9208 Bangladesh Dept. of Physics and Optical Science UNC at Charlotte CharlotteNC28223 United States

ISBN: (纸本)9798331510213

The information Bottleneck (IB) method provides a theoretical framework for balancing complexity and accuracy in machine learning models by compressing input data while retaining relevant information. This paper presents a comprehensive review of the applications of the IB method in deep learning, focusing on its ability to enhance learning efficiency, generalization, and adversarial robustness. Variations like the Variational information Bottleneck (viB) are also explored for their success in improving neural network performance. Notably, the viB method performed superior on the MNIST dataset, outperforming conventional regularization techniques such as dropout and confidence penalty. In addition to achieving better generalization, the viB model demonstrates greater resilience to adversarial attacks, requiring more substantial input modifications to mislead the model. However, significant challenges remain, including optimization complexities and scalability issues in large data sets. This paper also identifies future research directions that aim to address these limitations, such as developing more scalable IB algorithms and enhancing adversarial defense mechanisms, to fully realize the potential of IB-based learning models. © 2024 IEEE.

关键词： Adversarial machine learning

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A Multi-scale Block PatchMatch-based Unified Algorithm for Efficient 6-D vision processing

A Multi-scale Block PatchMatch-based Unified Algorithm for E...

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IEEE International Symposium on Circuits and systems (ISCAS)

作者： Wang, Hongyu Zhang, Xiangyu Lou, Xin ShanghaiTech Univ Sch Informat Sci & Technol Shanghai Peoples R China Minist Educ Key Lab Intelligent Percept & Human Machine Colla Shanghai Peoples R China

ISBN: (纸本)9798350330991;9798350331004

6-D vision, which combines stereo and flow estimation to derive 3-D location and motion information, is crucial for comprehensive real-world perception. This paper presents a multi-scale block PatchMatch (MBPM)-based efficient 6-D vision algorithm with a balance tradeoff between computational complexity and accuracy, making it suitable for embedded application scenarios. By adopting a random search strategy, the proposed algorithm effectively reduces the computational burden without compromising accuracy. Additionally, the block-level processing approach further enhances efficiency by processing data in smaller, manageable chunks. Due to the significantly larger search range in flow estimation compared to stereo, we further incorporate direction initialization and multi-scale PatchMatch propagation techniques. These enhancements are crucial for ensuring reliable accuracy while expediting algorithm convergence. Compared with existing 6-D vision algorithms, the proposed method achieves 16.7% higher accuracy in stereo and 11.1% in flow estimation with much lower complexity. Even when faced with larger searching ranges, the proposed method exhibits consistent accuracy, allowing it to effectively handle fast motion scenarios.

关键词： 6-D vision optical flow stereo matching low complexity hardware-algorithm co-design

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