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

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: 757 pages
Publication date: 23 October 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 encompasses the study of computer systems for understanding and interpreting visual data, such as images, videos, and 3D scenes. It involves techniques such as image processing, pattern recognition, and object detection.

Machine Learning: Machine learning is a branch of computer science that involves the development of algorithms that can learn from data and make predictions or decisions without being explicitly programmed. It is widely used in computer vision for tasks such as image classification, object detection, and facial recognition.

Deep Neural Networks: Deep neural networks are a type of neural network that uses multiple layers of artificial neurons to model and process complex data. They are particularly effective in tasks such as image recognition, speech recognition, and natural language processing.

Reinforcement Learning: Reinforcement learning is a type of machine learning that involves learning by interacting with an environment. It involves agents that receive rewards or penalties for their actions and learn to optimize their behavior over time to achieve a desired goal.

Object Recognition: Object recognition is the task of identifying and categorizing objects in images or videos. It involves techniques such as feature extraction, classification, and tracking.

Image Classification: Image classification is the task of assigning a label to an image based on its content. It involves techniques such as convolutional neural networks, decision trees, and support vector machines.

Image Processing: Image processing is the manipulation of images to enhance their appearance, remove noise, or perform other operations. It involves techniques such as image enhancement, filtering, and segmentation.

Object Detection: Object detection is the task of identifying and locating objects in images or videos. It involves techniques such as convolutional neural networks, bounding boxes, and region-based methods.

Semantic Segmentation: Semantic segmentation is the task of dividing an image into different regions based on its semantic content. It involves techniques such as convolutional neural networks and deep learning.

Human Pose Estimation: Human pose estimation is the task of estimating the pose of a human body in an image or video. It involves techniques such as deep learning and computer vision.

Three-Dimensional Reconstruction: Three-dimensional reconstruction is the task of reconstructing a 3D scene from a set of 2D images or videos. It involves techniques such as photogrammetry, point clouds, and mesh modeling.

Stereo Vision: Stereo vision is the task of determining the depth and distance of objects in a scene using two or more cameras. It involves techniques such as disparity estimation, triangulation, and stereo matching.

Computational Photography: Computational photography is the use of computer algorithms to enhance or modify images or videos. It involves techniques such as image optimization, color correction, and image synthesis.

Neural Networks: Neural networks are a type of artificial intelligence that mimics the behavior of the human brain. They are used in a wide range of applications, including computer vision, speech recognition, and natural language processing.

Image Coding: Image coding is the process of compressing images or videos to reduce their size without losing quality. It involves techniques such as JPEG, PNG, and H.264/MPEG-4 AVC.

Image Reconstruction: Image reconstruction is the process of restoring an image or video that has been corrupted or damaged. It involves techniques such as interpolation, denoising, and restoration.

Object Recognition: Object recognition is the task of identifying and categorizing objects in images or videos. It involves techniques such as feature extraction, classification, and tracking.

Motion Estimation: Motion estimation is the task of estimating the motion of objects in images or videos. It involves techniques such as optical flow, motion tracking, and particle filters.

The 17th European Conference on Computer Vision (ECCV) 2022 was a major event in the field of computer vision, bringing together researchers and practitioners from around the world to share their latest findings and advancements. The conference featured a wide range of technical sessions, workshops, and tutorials, covering a diverse range of topics in computer vision.

One of the highlights of the conference was the presentation of the Best Paper Award, which was given to the authors of the paper titled "DeepFusion: A Simple and Efficient Neural Image Fusion Method." The paper proposed a novel approach to image fusion that combines deep learning techniques with traditional image processing methods, resulting in improved image quality and reduced computational complexity.

Another notable aspect of the conference was the participation of prominent researchers and industry leaders in the field of computer vision. Keynote speakers included Professor Yann LeCun, the founder of Facebook's AI Research Lab, and Professor Yoshua Bengio, the co-founder of Google Brain. The conference also featured a number of workshops and tutorials that provided hands-on training and experience in various computer vision techniques.

In conclusion, the 17th European Conference on Computer Vision (ECCV) 2022 was a successful event that showcased the latest developments in the field of computer vision. The conference provided a platform for researchers and practitioners to share their knowledge and expertise, and it played a significant role in advancing the state-of-the-art in computer vision. The conference's proceedings, which are published in the LNCS series, will serve as a valuable resource for future research and development in the field.

Weight: 1229g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031197741
Edition number: 1st ed. 2022