Computer Vision - ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXV

The 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.

Format: Paperback / softback
Length: 745 pages
Publication date: 04 November 2022
Publisher: Springer International Publishing AG

The 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.

The 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:

Computer Vision: This field encompasses the development and application of algorithms for tasks such as image analysis, object detection, and scene understanding.

Machine Learning: Machine learning algorithms are used to analyze and interpret data, enabling computers to make predictions and decisions based on patterns.

Deep 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.

Reinforcement Learning: Reinforcement learning involves training agents to make decisions in complex environments by receiving feedback in the form of rewards or penalties.

Object 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.

Image Classification: Image classification algorithms are used to categorize images based on their content, such as flowers, animals, or buildings.

Image Processing: Image processing algorithms are used to enhance, modify, and analyze images, enabling tasks such as image restoration and image compression.

Object Detection: Object detection algorithms are used to identify and locate objects in images and videos, enabling applications such as security surveillance and autonomous navigation.

Semantic Segmentation: Semantic segmentation algorithms are used to segment images into different regions based on their semantic content, such as objects, backgrounds, or faces.

Human 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.

Three-Dimensional Reconstruction: Three-dimensional reconstruction algorithms are used to create three-dimensional models of objects and scenes from two-dimensional images or videos.

Stereo Vision: Stereo vision algorithms are used to create depth perception and 3D reconstructions from multiple camera images.

Computational Photography: Computational photography algorithms are used to enhance and manipulate images and videos using computer vision techniques.

Neural 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.

Image 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.

Image Reconstruction: Image reconstruction algorithms are used to recreate images from incomplete or corrupted data, enabling tasks such as medical imaging and satellite imaging.

Object 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.

Motion 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.

These proceedings represent the latest advancements in computer vision research and technology, and they will be valuable to researchers, practitioners, and students in the field.

The 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.

Computer 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:

Computer 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.

Machine 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.

Deep 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.

Reinforcement 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.

Object 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.

Image 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.

Image 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.

Object 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.

Semantic 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.

Human 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.

Three-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.

Stereo 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.

Computational 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.

Neural 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.

Image 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.

Image 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.

Object 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.

Motion 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.

The 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.

These 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.

Furthermore, 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.

In 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.

Weight: 1211g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031198328
Edition number: 1st ed. 2022