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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems IV"

共 13664 条记录，以下是1321-1330 订阅

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image Search Engine with Recognition

Image Search Engine with Recognition

引用

Sentiment Analysis and Deep Learning (ICSADL), International conference on

作者： JMSV Ravi Kumar Bellaganti Dheeraj Geddada Gowtham Dokala Vivek Babu Bonthu Asha Kiran M. Srikanth Department of Information Technology SRKR Engineering College Bhimavaram Andhra Pradesh India

ISBN: (数字)9798331523923

ISBN: (纸本)9798331523930

The image Recognition Search Engine is one of the modern advances in artificial intelligence and image analysis and processing. This advanced system surpasses typical functionalities in image identification as it captures features to solve new problems faced in existing systems of digital media authentication, content designing, and improvement of images. The system core relies on advanced AI algorithms that can rasterically recognize and analyze various forms of image objects ranging from objects, faces, scenes, and brand logos converting what appears to be simple images into indexical, analyzable data. One feature is that the system can integrate deepfake detection technology, which is relevant in the context of increasing the amount of manipulated content in the media space. Using special algorithms to learn even the least detectable abnormality in images including the presence of unnatural distinctive facial characteristics and changes in lighting conditions, we obtain a highly effective tool for improving the reliability of image identification. Furthermore, the platform allows for new features to convert an image into a video by implementing frame interpolation and motion estimation through animating the images to allow users to create interesting clips for applications regarding marketing or any personal use.

关键词： Deepfakes Visualization Sentiment analysis image recognition Face recognition Search engines Feature extraction User experience Artificial intelligence Usability

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UNPAIRED NIGHT-TO-DAY TRANSLATION: image RESTORATION AND STYLE TRANSFER UNDER LOW ILLUMINATION

UNPAIRED NIGHT-TO-DAY TRANSLATION: IMAGE RESTORATION AND STY...

引用

IEEE International conference on image processing (ICIP)

作者： Li, Haoling Chen, Yuanyuan Sichuan Univ Coll Comp Sci Chengdu Peoples R China

ISBN: (纸本)9781665441155

The faint vision at low illumination affects the performance of intelligent surveillance systems and induces criminals to sin under the cover of darkness. Night-to-day translation is an ideal way to handle this problem, but hard to achieve due to the lack of information at night. We propose a novel approach that combines DCGAN(deep convolutional generative adversarial network) and image processing algorithms to find out the mapping from night to day. images from night domain are enhanced with MSRCP(multi-scale retinex with chromaticity preservation) algorithm before they're put into DCGAN to generate bright and clear daylight images without paired supervision. At the same time emerging issues of image atomization and local over-exposure are handled to ensure the quality of output. The experimental results show that our approach can be applied to different conditions and dig out sensitive information from the darkness.

关键词： Night-to-day transfer DCGAN Unpaired image translation image restoration

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Real-Time Data processing for Embedded Communicating systems: A Hardware/Software Co-Design Approach

Real-Time Data Processing for Embedded Communicating Systems...

引用

IEEE International conference on Electronics, Circuits and systems (ICECS)

作者： Jonathan Saussereau Christophe Jego Camille Leroux Jean-Baptiste Begueret Laboratoire IMS UMR CNRS 5218 Université de Bordeaux Bordeaux INP France

ISBN: (数字)9798350377200

ISBN: (纸本)9798350377217

Embedded systems typically require the transmission of significant amounts of data to small-scale CPUs for applications such as radar signal processing, image processing, and embedded AI. Ensuring data integrity during transmission is typically managed using Cyclic Redundancy Check (CRC) algorithms. However, achieving real-time CRC calculation and data storage poses challenges, often necessitating large FIFO memories and multiple clock domains. These additional resources involve a greater hardware complexity. This paper presents an approach aimed at synchronizing the CPU frequency with data transmission. This enables having a single clock domain and a reduction of power consumption. Using hardware/software co-design, it is possible to achieve real-time data storage and CRC calculation without data loss and with a low power consumption.

关键词： Power demand Embedded systems Single instruction multiple data Real-time systems Central processing Unit Data communication Frequency synchronization Optimization System analysis and design Clocks

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Unlocking the Potential of Raw images for Object Detection with YOLOv8 and BOT-SORT Techniques

Unlocking the Potential of Raw Images for Object Detection w...

引用

Machine Learning and Computer Application (ICMLCA), International conference on

作者： Bolai Jin Faculty of Engineering University of Sydney Sydney Australia

ISBN: (数字)9798331530334

ISBN: (纸本)9798331530341

The basic use case of raw image for object detection and tracking in autonomous driving with the help of YOLOv8,also it uses the BOT-SORT algorithm be discussed in this paper. Converting raw sensor data to processed images using image Signal processing (ISP) is a computationally intensive and expensive task that traditionally has been in the image processing pipelines of many applications. In this paper, we examine these costs and the processing pipeline itself and propose a solution that eliminates them by consuming raw images directly. We perform our experiments on the RobotCar dataset, which suggest that raw images achieve competitive precision, recall and F1 scores to their preprocessed counterparts but in a fraction of the time. This work validates that raw images are a feasible and advantageous way to perform real-time object detection and tracking, contributing as possible alternative for coachbuilders. This work verifies by experiments the efficiency of raw images applying YOLOv8 and BOT-SORT in-depth, which significantly reduces cost and time over other related researches as a primary contribution. Our work on the findings studied indicate that raw images lend a direction toward efficacy and performance for improving autonomous driving system.

关键词： Costs Pipelines Signal processing algorithms systems architecture Object detection Signal processing Streaming media Routing Real-time systems Autonomous vehicles

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8th International conference on Advanced Computing and Communication systems, ICACCS 2022

8th International Conference on Advanced Computing and Commu...

引用

8th International conference on Advanced Computing and Communication systems, ICACCS 2022

ISBN: (纸本)9781665408165

The proceedings contain 399 papers. The topics discussed include: wavelet based speech enhancement algorithm for hearing aid application;a review of image processing applications based on Raspberry-Pi;pest detection in crops using deep neural networks;kitchen safety and security system for children;intrusion detection system for databases: a hybrid metaheuristic clustering and closed sequential pattern mining approach;diabetes prediction using machine learning algorithms;integration of optimization techniques to improve performance of machine learning system;role of cloud security in big data processing for healthcare system;behavioral analysis of students by integrated radial curvature and facial action coding system using DCNN;an efficient mouse tracking system using facial gestures;automatic detection of white blood cancer from blood cells using novel machine learning techniques;portable smart storage units for agricultural products;and smart access control system for covid safety smart access control system during covid.

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Comparative Study of image processing Neural Networks using Face Mask Dataset

Comparative Study of Image Processing Neural Networks using ...

引用

Advances in Electronics, Communication, Computing and Intelligent Information systems (ICAECIS), International conference on

作者： Sunny Rajni Jindal Department of Computer Science & Engineering Delhi Technological University Delhi India

Over the years there has been huge improvements in the performance of image processing algorithms due to increase in computation power of Devices as well as use of Neural Networks. This paper focuses on comparison of size and performance of different image Classification networks used widely. Each one of the machine learning models studied presents a new technique to process the input images that might be useful in different scenarios. Our main focus is to identify the framework with low latency, high accuracy as they can be used practically in surveillance equipment’s that need to be fast and accurate.

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Aspects of Signal processing for Multistatic Terahertz Imaging systems 46

Aspects of Signal Processing for Multistatic Terahertz Imagi...

引用

46th International conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz)

作者： Hussung, Raphael Keil, Andreas Kahl, Matthias Souliman, Aya Weisenstein, Christian Bolivar, Peter Haring Friederich, Fabian Fraunhofer Inst Ind Math ITWM Kaiserslautern Germany Becker Photon GmbH Porta Westfalica Germany Univ Siegen High Frequency & Quantum Elect Siegen Germany

ISBN: (纸本)9781728194240

Applications of multistatic sensor arrays, which operate in the terahertz-region, are increasingly gaining importance for non-destructive testing purposes. Continuous enhancements in processing capabilities of CPUs and GPUs allow to generate volumetric images with superior speeds compared to alternative raster-scan systems. However, this requires efficient reconstruction-and correction algorithms. In addition to the system design, the choice of signal processing methods has a decisive influence on the resolution, image quality and measurement duration. In this contribution, we discuss some aspects of this signal processing along with specific examples.

关键词： image quality image resolution Signal processing algorithms Imaging System analysis and design Signal resolution image reconstruction

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FWAVs Object Detection Based on YOLOv8 In Adverse Weather

FWAVs Object Detection Based on YOLOv8 In Adverse Weather

引用

image processing, Computer Vision and Machine Learning (ICICML), International conference on

作者： Junying Li Chenguang Zhai Xiaojun Yang Fu Qiang School of Aeronautics Northwestern Polytechnical University Xi’an China National Key Laboratory of Aircraft Configuration Design

ISBN: (数字)9798350355413

ISBN: (纸本)9798350355420

In recent years, Flapping-wing Micro Aerial Vehicles (FMAVs) have gained increasing attention due to their biomimetic appearance and excellent maneuverability. Equipping them with object detection systems to make them more intelligent is becoming a major trend. This paper proposes an aerial photography small object detection algorithm under adverse weather conditions based on YOLOv8. Using a custom dataset, the concluding mAP50 (mean Average Precision at Intersection over Union threshold of 0.5) reached 0.761, surpassing other datasets. The mAP50 improved from 0.627 to 0.708 compared to model validation on the VisDrone2019 dataset, surpassing other mainstream object detection models.

关键词： Computer vision Machine learning algorithms Snow image processing Biomimetics Object detection Machine learning Market research Satellite images Meteorology

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Artificial Intelligence based Multi-Face Recognition and Attendance Marking System

Artificial Intelligence based Multi-Face Recognition and Att...

引用

image processing and Capsule Networks (ICIPCN), International conference on

作者： J Srikanth R Kalpitha Reddy P Jayachandra Reddy Konda Rahul Chitram Bharath Dept of IT Vignan Institute of Technology and Science(A) Hyderabad

ISBN: (数字)9798350367171

ISBN: (纸本)9798350367188

Autonomous face based attendance system utilizes Artificial Intelligence (AI) to transform attendance tracking by enabling simultaneous recognition of multiple faces. This advanced system offers a robust and efficient solution for accurately recording attendance in educational institutions, workplaces, and events, eliminating the need for manual intervention. By utilizing cutting-edge AI algorithms and facial recognition technology, the proposed multi-face recognition system ensures high accuracy, reduces time consumption, and enhances security. This research study explores the design and implementation of the proposed real-time multi-face recognition system, highlighting its potential to significantly improve attendance management practices across various domains.

关键词： image recognition Accuracy Face recognition Employment Transforms Manuals Real-time systems

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image processing Using Shepard Local Approximation Operators Defined in Riesz MV-Algebras

Image Processing Using Shepard Local Approximation Operators...

引用

Mechatronics and Robotics Engineering (ICMRE), International conference on

作者： Dan-Cătălin Noje Ovidiu-Gheorghe Moldovan Dan-Ioan Ţarcă Radu-Cătălin Ţarcă RDI Programs and Projects Department University of Oradea Oradea Romania Department of Mechatronics University of Oradea Oradea Romania

ISBN: (数字)9798350394276

ISBN: (纸本)9798350394283

The data acquired by various sensors and IoT devices is a key component of any Industrial Control System (ICS). The decision and predictive algorithms implemented in these ICTs require a specific resolution of the processed data. This requirement usually increases the implementation costs due to the need to use expensive sensors or IoT devices, which can be a barrier to implementing such a system. To mitigate implementation expenses, an option is to use sensors or IoT devices having a lower cost and a lower resolution. How can we obtain the same performance of the algorithms that process these data? The answer is by enhancing the acquired signals before they are processed. In this paper, we propose a new enhancement algorithm to be applied to images, which are two-dimensional signals, but with similar results can be applied to other types of signals, unidimensional or multidimensional ones. To enhance the images, we decided to take advantage of the Riesz MV-Algebra structure of the images and we use Shepard Local Approximation Operators Defined in Riesz MV-Algebras. Due to the efficiency of Shepard Local Approximation Operators Defined in Riesz MV-Algebras in approximating functions, we expected that it will provide also good results in image processing, and it will be a good enabler of image enhancement algorithms, expectation that has been confirmed through several experiments using both standard test images and acquired images during real industrial processes.

关键词： Performance evaluation Costs Service robots Approximation algorithms Prediction algorithms Sensor systems Sensors

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