{"product_id":"computer-vision-eccv-2022-17th-european-conference-tel-aviv-israel-october-2327-2022-proceedings-part-xxxv-9783031198328","title":"Computer Vision - ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXV","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThe 39-volume set, consisting of the LNCS books 13661 to 13699, contains the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The papers cover various topics in computer vision, machine learning, deep neural networks, and more, with 1645 papers selected from 5804 submissions. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 745 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 04 November 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer International Publishing AG\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThe 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision (ECCV) 2022, held in Tel Aviv, Israel, during October 23–27, 2022.\u003cbr\u003e\u003cbr\u003eThe 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers cover a wide range of topics in computer vision, including:\u003cbr\u003e\u003cbr\u003eComputer Vision: This field encompasses the development and application of algorithms for tasks such as image analysis, object detection, and scene understanding.\u003cbr\u003e\u003cbr\u003eMachine Learning: Machine learning algorithms are used to analyze and interpret data, enabling computers to make predictions and decisions based on patterns.\u003cbr\u003e\u003cbr\u003eDeep Neural Networks: Deep neural networks are a powerful tool for analyzing and processing complex data, particularly in areas such as image recognition and natural language processing.\u003cbr\u003e\u003cbr\u003eReinforcement Learning: Reinforcement learning involves training agents to make decisions in complex environments by receiving feedback in the form of rewards or penalties.\u003cbr\u003e\u003cbr\u003eObject Recognition: Object recognition algorithms are used to identify and classify objects in images and videos, enabling applications such as autonomous vehicles and facial recognition systems.\u003cbr\u003e\u003cbr\u003eImage Classification: Image classification algorithms are used to categorize images based on their content, such as flowers, animals, or buildings.\u003cbr\u003e\u003cbr\u003eImage Processing: Image processing algorithms are used to enhance, modify, and analyze images, enabling tasks such as image restoration and image compression.\u003cbr\u003e\u003cbr\u003eObject Detection: Object detection algorithms are used to identify and locate objects in images and videos, enabling applications such as security surveillance and autonomous navigation.\u003cbr\u003e\u003cbr\u003eSemantic Segmentation: Semantic segmentation algorithms are used to segment images into different regions based on their semantic content, such as objects, backgrounds, or faces.\u003cbr\u003e\u003cbr\u003eHuman Pose Estimation: Human pose estimation algorithms are used to estimate the pose of a human body in images or videos, enabling applications such as virtual reality and human-computer interaction.\u003cbr\u003e\u003cbr\u003eThree-Dimensional Reconstruction: Three-dimensional reconstruction algorithms are used to create three-dimensional models of objects and scenes from two-dimensional images or videos.\u003cbr\u003e\u003cbr\u003eStereo Vision: Stereo vision algorithms are used to create depth perception and 3D reconstructions from multiple camera images.\u003cbr\u003e\u003cbr\u003eComputational Photography: Computational photography algorithms are used to enhance and manipulate images and videos using computer vision techniques.\u003cbr\u003e\u003cbr\u003eNeural Networks: Neural networks are a class of algorithms that are inspired by the structure and function of the human brain. They are used for a wide range of tasks, including image recognition, natural language processing, and machine learning.\u003cbr\u003e\u003cbr\u003eImage Coding: Image coding algorithms are used to reduce the size of images while maintaining their quality, enabling efficient storage and transmission of images over networks.\u003cbr\u003e\u003cbr\u003eImage Reconstruction: Image reconstruction algorithms are used to recreate images from incomplete or corrupted data, enabling tasks such as medical imaging and satellite imaging.\u003cbr\u003e\u003cbr\u003eObject Recognition: Object recognition algorithms are used to identify and classify objects in images and videos, enabling applications such as autonomous vehicles and facial recognition systems.\u003cbr\u003e\u003cbr\u003eMotion Estimation: Motion estimation algorithms are used to estimate the motion of objects in images and videos, enabling applications such as video surveillance and sports analysis.\u003cbr\u003e\u003cbr\u003eThese proceedings represent the latest advancements in computer vision research and technology, and they will be valuable to researchers, practitioners, and students in the field.\u003cbr\u003e\u003cbr\u003eThe 17th European Conference on Computer Vision (ECCV) 2022, held in Tel Aviv, Israel, from October 23 to 27, 2022, witnessed the presentation of a remarkable 1645 papers. These papers, meticulously reviewed and selected from a staggering 5804 submissions, showcased a diverse range of topics within the field of computer vision.\u003cbr\u003e\u003cbr\u003eComputer vision, a multidisciplinary domain, encompasses a wide array of techniques and algorithms aimed at understanding and interpreting visual data. The papers presented at ECCV 2022 covered a broad spectrum of topics, including:\u003cbr\u003e\u003cbr\u003eComputer Vision: This overarching field encompasses the development and application of algorithms for tasks such as image analysis, object detection, and scene understanding. Researchers explored innovative approaches to tackle challenging problems in computer vision, such as autonomous navigation, medical imaging, and video surveillance.\u003cbr\u003e\u003cbr\u003eMachine Learning: Machine learning algorithms played a pivotal role in many of the presented papers. Researchers utilized machine learning techniques to analyze and interpret data, enabling computers to make predictions and decisions based on patterns. Topics covered included deep learning, convolutional neural networks, and reinforcement learning.\u003cbr\u003e\u003cbr\u003eDeep Neural Networks: Deep neural networks, a powerful tool for analyzing and processing complex data, were extensively explored at ECCV 2022. Researchers presented novel architectures, training strategies, and applications of deep neural networks in areas such as image recognition, natural language processing, and autonomous driving.\u003cbr\u003e\u003cbr\u003eReinforcement Learning: Reinforcement learning, a technique that trains agents to make decisions in complex environments by receiving feedback in the form of rewards or penalties, garnered significant attention at ECCV 2022. Researchers presented algorithms for various tasks, including robotic navigation, game playing, and autonomous decision-making.\u003cbr\u003e\u003cbr\u003eObject Recognition: Object recognition algorithms, crucial for applications such as autonomous vehicles and facial recognition systems, were extensively studied at ECCV 2022. Researchers presented state-of-the-art techniques for identifying and classifying objects in images and videos, including deep learning-based methods and convolutional neural networks.\u003cbr\u003e\u003cbr\u003eImage Classification: Image classification algorithms, used to categorize images based on their content, were explored in depth at ECCV 2022. Researchers presented novel approaches for classifying images with high accuracy, including convolutional neural networks, transfer learning, and generative adversarial networks.\u003cbr\u003e\u003cbr\u003eImage Processing: Image processing algorithms, employed to enhance, modify, and analyze images, were extensively discussed at ECCV 2022. Topics covered included image restoration, image compression, and image segmentation, which play vital roles in various applications, including medical imaging and computer vision.\u003cbr\u003e\u003cbr\u003eObject Detection: Object detection algorithms, essential for applications such as security surveillance and autonomous navigation, were extensively researched at ECCV 2022. Researchers presented state-of-the-art techniques for locating and identifying objects in images and videos, including deep learning-based methods, cascaded convolutional neural networks, and multi-stage detectors.\u003cbr\u003e\u003cbr\u003eSemantic Segmentation: Semantic segmentation algorithms, used to segment images into different regions based on their semantic content, were explored at ECCV 2022. Researchers presented novel approaches for segmenting images with high accuracy, including deep learning-based methods, graph-based methods, and multi-scale methods.\u003cbr\u003e\u003cbr\u003eHuman Pose Estimation: Human pose estimation algorithms, crucial for applications such as virtual reality and human-computer interaction, were extensively studied at ECCV 2022. Researchers presented state-of-the-art techniques for estimating the pose of a human body in images or videos, including deep learning-based methods, multi-view methods, and multi-frame methods.\u003cbr\u003e\u003cbr\u003eThree-Dimensional Reconstruction: Three-dimensional reconstruction algorithms, used to create three-dimensional models of objects and scenes from two-dimensional images or videos, were discussed at ECCV 2022. Researchers presented novel approaches for reconstructing 3D scenes from multiple camera images, including depth estimation, feature matching, and point cloud registration.\u003cbr\u003e\u003cbr\u003eStereo Vision: Stereo vision algorithms, used to create depth perception and 3D reconstructions from multiple camera images, were explored at ECCV 2022. Researchers presented techniques for estimating depth, reconstructing 3D scenes, and tracking objects in stereo images.\u003cbr\u003e\u003cbr\u003eComputational Photography: Computational photography algorithms, used to enhance and manipulate images and videos using computer vision techniques, were discussed at ECCV 2022. Topics covered included image enhancement, image compression, and image synthesis, which have significant applications in photography, video editing, and computer graphics.\u003cbr\u003e\u003cbr\u003eNeural Networks: Neural networks, a class of algorithms inspired by the structure and function of the human brain, were extensively studied at ECCV 2022. Researchers presented novel architectures, training strategies, and applications of neural networks in areas such as image recognition, natural language processing, and autonomous driving.\u003cbr\u003e\u003cbr\u003eImage Coding: Image coding algorithms, used to reduce the size of images while maintaining their quality, were explored at ECCV 2022. Researchers presented techniques for compressing images using lossless compression algorithms, such as JPEG and PNG, as well as lossy compression algorithms, such as JPEG2000 and WebP.\u003cbr\u003e\u003cbr\u003eImage Reconstruction: Image reconstruction algorithms, used to recreate images from incomplete or corrupted data, were discussed at ECCV 2022. Researchers presented techniques for reconstructing images from medical imaging, satellite imaging, and other types of data.\u003cbr\u003e\u003cbr\u003eObject Recognition: Object recognition algorithms, used to identify and classify objects in images and videos, were explored at ECCV 2022. Researchers presented state-of-the-art techniques for recognizing objects with high accuracy, including deep learning-based methods, convolutional neural networks, and multi-class classification.\u003cbr\u003e\u003cbr\u003eMotion Estimation: Motion estimation algorithms, used to estimate the motion of objects in images and videos, were discussed at ECCV 2022. Researchers presented techniques for tracking objects in video sequences, estimating motion between frames, and detecting motion anomalies.\u003cbr\u003e\u003cbr\u003eThe 17th European Conference on Computer Vision (ECCV) 2022 proceedings represent a significant milestone in the field of computer vision. The high quality and diversity of the presented papers demonstrate the ongoing advancements and innovations in this rapidly evolving domain.\u003cbr\u003e\u003cbr\u003eThese proceedings will be invaluable to researchers, practitioners, and students in the field of computer vision. They provide a comprehensive overview of the latest research and developments, enabling them to stay up-to-date with the latest techniques and applications. The papers cover a wide range of topics, making them suitable for both beginners and experts in the field.\u003cbr\u003e\u003cbr\u003eFurthermore, the proceedings serve as a platform for researchers to showcase their work and connect with peers from around the world. The conference's vibrant atmosphere and interactive sessions foster collaboration and knowledge exchange, contributing to the growth and development of the computer vision community.\u003cbr\u003e\u003cbr\u003eIn conclusion, the 17th European Conference on Computer Vision (ECCV) 2022 proceedings represent a remarkable achievement in the field of computer vision. The high quality and diversity of the presented papers demonstrate the ongoing advancements and innovations in this rapidly evolving domain. These proceedings will be invaluable to researchers, practitioners, and students in the field, providing a comprehensive overview of the latest research and developments. The conference's vibrant atmosphere and interactive sessions foster collaboration and knowledge exchange, contributing to the growth and development of the computer vision community.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 1211g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783031198328\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2022\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Paperback \/ softback","offer_id":45290376691962,"sku":"9783031198328","price":85.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_506dba2b-d832-4a91-b1ba-829c41137c8b.jpg?v=1706343381","url":"https:\/\/shulphink.com\/products\/computer-vision-eccv-2022-17th-european-conference-tel-aviv-israel-october-2327-2022-proceedings-part-xxxv-9783031198328","provider":"Shulph Ink","version":"1.0","type":"link"}