Computer Vision - ECCV 2022 Workshops: Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VII

The 8-volume set of the LNCS books 13801-13809 contains the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision, ECCV 2022, in Tel Aviv, Israel. The 367 full papers included in this volume set were carefully reviewed and selected for inclusion in the conference proceedings.

Format: Paperback / softback
Length: 751 pages
Publication date: 12 February 2023
Publisher: Springer International Publishing AG

The 8-volume set, comprising the LNCS books 13801 until 13809, represents the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision (ECCV), ECCV 2022. This prestigious conference took place in Tel Aviv, Israel, from October 23 to 27, 2022, with the workshops being conducted in a hybrid or online format.

Within this comprehensive volume set, there are 367 full papers that have undergone meticulous review and selection for inclusion in the ECCV 2022 workshop proceedings. These papers are organized into six distinct parts, each focusing on a specific area of computer vision research.

Part I: AI for Space, W01, explores the application of artificial intelligence (AI) in space exploration and satellite imaging. It delves into topics such as autonomous navigation, object detection, and image analysis in space environments.

Part II: Vision for Art, W02, focuses on the use of computer vision for artistic purposes, including image manipulation, content creation, and artistic expression. It explores techniques for generating realistic images, extracting artistic features, and understanding artistic styles.

Part III: Adversarial Robustness in the Real World, W03, addresses the challenges of robustness in computer vision systems when faced with adversarial attacks. It explores techniques for detecting and mitigating adversarial examples, enhancing the robustness of vision systems in real-world applications.

Part IV: Autonomous Vehicle Vision, W04, explores the use of computer vision in autonomous vehicles, including object detection, scene understanding, and decision-making. It discusses the latest developments in autonomous driving technology and the potential benefits it brings to transportation.

Part V: Self-Supervised Learning: What Is Next?, W05, examines the emerging field of self-supervised learning, which involves training neural networks without labeled data. It explores the latest research trends, algorithms, and applications in this area, including image recognition, natural language processing, and autonomous driving.

Part VI: AI for Creative Video Editing and Understanding, W16, focuses on the use of AI in creative video editing and understanding. It explores techniques for video analysis, content generation, and scene understanding, with a particular emphasis on leveraging AI for artistic purposes.

Part VII: Visual Inductive Priors for Data-Efficient Deep Learning, W17, explores the use of visual inductive priors in deep learning for efficient training and inference. It discusses the advantages of visual priors in reducing the computational complexity of deep learning models and improving their performance.

Part VIII: Mobile Intelligent Photography and Imaging, W18, explores the use of mobile devices and intelligent imaging techniques for capturing and processing images. It discusses the latest developments in mobile photography, image processing, and augmented reality, with a focus on improving the user experience and capturing high-quality images.

Part IX: People Analysis: From Face, Body, and Fashion to 3D Virtual Avatars, W19, focuses on the analysis of human faces, bodies, and fashion for various applications, including virtual avatar creation, human-computer interaction, and fashion recommendation. It explores techniques for face recognition, body pose estimation, and fashion analysis.

Part X: Safe Artificial Intelligence for Automated Driving, W20, addresses the safety concerns associated with autonomous driving. It explores the latest research in autonomous vehicle safety, including perception, decision-making, and human-machine interaction, with a goal of developing safe and reliable autonomous driving systems.

Part XI: Real-World Surveillance: Applications and Challenges, W21, explores the use of computer vision in real-world surveillance applications, including object detection, face recognition, and scene understanding. It discusses the challenges and opportunities in deploying computer vision systems in surveillance scenarios and the potential benefits they bring to security and public safety.

Part XII: Affective Behavior Analysis In-the-Wild, W22, focuses on the analysis of affective behavior in natural environments, including human faces, body movements, and voice. It explores techniques for emotion recognition, facial expression analysis, and behavior prediction, with a particular emphasis on applications in human-computer interaction and social media analysis.

Part XIII: Visual Perception for Navigation in Human Environments: The JackRabbot Human Body Pose Dataset and Benchmark, W23, explores the use of computer vision for navigation in human environments, including indoor spaces and outdoor environments. It discusses the development of human body pose datasets and benchmarks for training and evaluating navigation algorithms.

Part XIV: Distributed Smart Cameras, W24, explores the use of distributed smart cameras for surveillance and monitoring applications. It discusses the advantages of distributed camera systems, including scalability, flexibility, and cost-effectiveness, and explores the challenges in deploying and managing such systems.

Part XV: Causality in Visi, W25, focuses on the analysis of causality in visual data, including images, videos, and sensor data. It explores techniques for detecting and understanding causal relationships between objects and events, with a particular emphasis on applications in medical imaging, robotics, and autonomous systems.

In conclusion, the 8-volume set of the ECCV 2022 workshop proceedings, comprising the LNCS books 13801 until 13809, represents a comprehensive and cutting-edge collection of research in computer vision. These proceedings showcase the latest advancements in various areas of computer vision, including AI for space exploration, vision for art, adversarial robustness, autonomous vehicle vision, self-supervised learning, AI for creative video editing, visual inductive priors, mobile intelligent photography, and imaging, people analysis, safe artificial intelligence for automated driving, real-world surveillance, affective behavior analysis in-the-wild, visual perception for navigation, distributed smart cameras, and causality in vision. The contributions made by the authors and presenters at ECCV 2022 have significantly contributed to the progress and development of the field, and this volume set serves as a valuable resource for researchers, practitioners, and students in computer vision and related fields.

Weight: 1175g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031250811
Edition number: 1st ed. 2023