Visual Saliency From Pixel Level To Object Level Analysis

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Visual Saliency: From Pixel-Level to Object-Level Analysis

Author : Jianming Zhang
Publisher : Springer
ISBN 13 : 3030048314
Total Pages : 138 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Visual Saliency: From Pixel-Level to Object-Level Analysis by : Jianming Zhang

Download or read book Visual Saliency: From Pixel-Level to Object-Level Analysis written by Jianming Zhang and published by Springer. This book was released on 2019-01-21 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to recent advances in theory, algorithms and application of Boolean map distance for image processing. Applications include modeling what humans find salient or prominent in an image, and then using this for guiding smart image cropping, selective image filtering, image segmentation, image matting, etc. In this book, the authors present methods for both traditional and emerging saliency computation tasks, ranging from classical low-level tasks like pixel-level saliency detection to object-level tasks such as subitizing and salient object detection. For low-level tasks, the authors focus on pixel-level image processing approaches based on efficient distance transform. For object-level tasks, the authors propose data-driven methods using deep convolutional neural networks. The book includes both empirical and theoretical studies, together with implementation details of the proposed methods. Below are the key features for different types of readers. For computer vision and image processing practitioners: Efficient algorithms based on image distance transforms for two pixel-level saliency tasks; Promising deep learning techniques for two novel object-level saliency tasks; Deep neural network model pre-training with synthetic data; Thorough deep model analysis including useful visualization techniques and generalization tests; Fully reproducible with code, models and datasets available. For researchers interested in the intersection between digital topological theories and computer vision problems: Summary of theoretic findings and analysis of Boolean map distance; Theoretic algorithmic analysis; Applications in salient object detection and eye fixation prediction. Students majoring in image processing, machine learning and computer vision: This book provides up-to-date supplementary reading material for course topics like connectivity based image processing, deep learning for image processing; Some easy-to-implement algorithms for course projects with data provided (as links in the book); Hands-on programming exercises in digital topology and deep learning.

A Selection of Image Analysis Techniques

Author : Yu-Jin Zhang
Publisher : CRC Press
ISBN 13 : 1000689425
Total Pages : 363 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis A Selection of Image Analysis Techniques by : Yu-Jin Zhang

Download or read book A Selection of Image Analysis Techniques written by Yu-Jin Zhang and published by CRC Press. This book was released on 2022-10-05 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on seven commonly used image analysis techniques. It covers aspects from basic principles and practical methods, to new advancement of each selected technique to help readers solve image‐processing related problems in real-life situations. The selected techniques include image segmentation, segmentation evaluation and comparison, saliency object detection, motion analysis, mathematical morphology methods, face recognition and expression classification. The author offers readers a three‐step strategy toward problem‐solving: first, essential principles; then, a detailed explanation; and finally, a discussion on practical and working techniques for specific tasks. He also encourages readers to make full use of available materials from the latest developments and trends. This is an excellent book for those who do not have a complete foundation in image technology but need to use image analysis techniques to perform specific tasks in particular applications.

Image Analysis

Author : Michael Felsberg
Publisher : Springer
ISBN 13 : 3030202054
Total Pages : 500 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Image Analysis by : Michael Felsberg

Download or read book Image Analysis written by Michael Felsberg and published by Springer. This book was released on 2019-05-22 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 21st Scandinavian Conference on Image Analysis, SCIA 2019, held in Norrköping, Sweden, in June 2019. The 40 revised papers presented were carefully reviewed and selected from 63 submissions. The contributions are structured in topical sections on Deep convolutional neural networks; Feature extraction and image analysis; Matching, tracking and geometry; and Medical and biomedical image analysis.

Image Analysis and Processing – ICIAP 2019

Author : Elisa Ricci
Publisher : Springer Nature
ISBN 13 : 3030306453
Total Pages : 769 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Image Analysis and Processing – ICIAP 2019 by : Elisa Ricci

Download or read book Image Analysis and Processing – ICIAP 2019 written by Elisa Ricci and published by Springer Nature. This book was released on 2019-09-04 with total page 769 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 11751 and 11752 constitutes the refereed proceedings of the 20th International Conference on Image Analysis and Processing, ICIAP 2019, held in Trento, Italy, in September 2019. The 117 papers presented were carefully reviewed and selected from 207 submissions. The papers cover both classic and the most recent trends in image processing, computer vision, and pattern recognition, addressing both theoretical and applicative aspects. They are organized in the following topical sections: Video Analysis and Understanding; Pattern Recognition and Machine Learning; Deep Learning; Multiview Geometry and 3D Computer Vision; Image Analysis, Detection and Recognition; Multimedia; Biomedical and Assistive Technology; Digital Forensics; Image processing for Cultural Heritage.

Advances in Intelligent Data Analysis IX

Author : Paul R. Cohen
Publisher : Springer Science & Business Media
ISBN 13 : 3642130615
Total Pages : 271 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Advances in Intelligent Data Analysis IX by : Paul R. Cohen

Download or read book Advances in Intelligent Data Analysis IX written by Paul R. Cohen and published by Springer Science & Business Media. This book was released on 2010-05-04 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Intelligent Data Analysis, IDA 2010, held in Tucson, AZ, USA in May 2010. The 21 revised papers presented together with 2 invited papers were carefully reviewed and selected from more than 40 submissions. All current aspects of intelligent data analysis are addressed, particularly intelligent support for modeling and analyzing complex, dynamical systems. Topics covered are end-to-end software systems; modeling complex systems such as gene regulatory networks, economic systems, ecological systems, resources such as water, and dynamical social systems such as online communities; and robustness, scaling properties and other usability issues.

RGB-D Image Analysis and Processing

Author : Paul L. Rosin
Publisher : Springer Nature
ISBN 13 : 3030286037
Total Pages : 524 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis RGB-D Image Analysis and Processing by : Paul L. Rosin

Download or read book RGB-D Image Analysis and Processing written by Paul L. Rosin and published by Springer Nature. This book was released on 2019-10-26 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the fundamentals and recent advances in RGB-D imaging as well as covering a range of RGB-D applications. The topics covered include: data acquisition, data quality assessment, filling holes, 3D reconstruction, SLAM, multiple depth camera systems, segmentation, object detection, salience detection, pose estimation, geometric modelling, fall detection, autonomous driving, motor rehabilitation therapy, people counting and cognitive service robots. The availability of cheap RGB-D sensors has led to an explosion over the last five years in the capture and application of colour plus depth data. The addition of depth data to regular RGB images vastly increases the range of applications, and has resulted in a demand for robust and real-time processing of RGB-D data. There remain many technical challenges, and RGB-D image processing is an ongoing research area. This book covers the full state of the art, and consists of a series of chapters by internationally renowned experts in the field. Each chapter is written so as to provide a detailed overview of that topic. RGB-D Image Analysis and Processing will enable both students and professional developers alike to quickly get up to speed with contemporary techniques, and apply RGB-D imaging in their own projects.

Image Analysis and Processing - ICIAP 2017

Author : Sebastiano Battiato
Publisher : Springer
ISBN 13 : 3319685481
Total Pages : 814 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Image Analysis and Processing - ICIAP 2017 by : Sebastiano Battiato

Download or read book Image Analysis and Processing - ICIAP 2017 written by Sebastiano Battiato and published by Springer. This book was released on 2017-10-13 with total page 814 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 10484 and 10485 constitutes the refereed proceedings of the 19th International Conference on Image Analysis and Processing, ICIAP 2017, held in Catania, Italy, in September 2017. The 138 papers presented were carefully reviewed and selected from 229 submissions. The papers cover both classic and the most recent trends in image processing, computer vision, and pattern recognition, addressing both theoretical and applicative aspects. They are organized in the following topical sections: video analysis and understanding; pattern recognition and machine learning; multiview geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; information forensics and security; imaging for cultural heritage and archaeology; and imaging solutions for improving the quality of life.

Diversity in Harmony

Author : IUPsyS
Publisher : John Wiley & Sons
ISBN 13 : 1119362075
Total Pages : 496 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Diversity in Harmony by : IUPsyS

Download or read book Diversity in Harmony written by IUPsyS and published by John Wiley & Sons. This book was released on 2018-11-05 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Highlights from one of the most successful international psychology conferences since the beginning of this century Diversity in Harmony distills the Proceedings of the 31st International Congress of Psychology into selected readings that highlight the Congress’s theme. The text includes research that offers recent insights gained from multidisciplinary perspectives and methodologies. The volume also contains chapters that put psychology at the center of our understanding and ability to address the many problems facing groups and individuals in modern society. As the contributors clearly show, the social problems often require multidisciplinary approaches. With contributions from experts from around the globe, the book explores a wealth of topics that examine new synergies such as artificial empathy, prosocial primates and understanding about others’ actions in chimpanzees and humans. The volume also contains readings on psychology confronting societal challenges with topics including: Culturally relevant personality assessment; Emotion-related self-regulation and Children's social, psychological and academic functioning. This vital resource: Presents readings from presentations that were highlighted at the 31st International Congress of Psychology Includes contributions from an international panel of renowned experts Offers information that compares the minds of primates and contemporary humans, and examines human cognitive capability Contains 24 chapters that explore a wide range of topics presented at the Congress Written for professionals and students in the field, Diversity in Harmony is filled with contributions from noted experts and offers a reflection of the state of psychology in the second decade of the 21st century.

Data Management Technologies and Applications

Author : Slimane Hammoudi
Publisher : Springer Nature
ISBN 13 : 3030545954
Total Pages : 168 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Data Management Technologies and Applications by : Slimane Hammoudi

Download or read book Data Management Technologies and Applications written by Slimane Hammoudi and published by Springer Nature. This book was released on 2020-07-29 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 8th International Conference on Data Management Technologies and Applications, DATA 2019, held in Prague, Czech Republic, in July 2019. The 8 revised full papers were carefully reviewed and selected from 90 submissions. The papers deal with the following topics: decision support systems, data analytics, data and information quality, digital rights management, big data, knowledge management, ontology engineering, digital libraries, mobile databases, object-oriented database systems, and data integrity.

Image Analysis and Processing – ICIAP 2023

Author : Gian Luca Foresti
Publisher : Springer Nature
ISBN 13 : 3031431480
Total Pages : 588 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Image Analysis and Processing – ICIAP 2023 by : Gian Luca Foresti

Download or read book Image Analysis and Processing – ICIAP 2023 written by Gian Luca Foresti and published by Springer Nature. This book was released on 2023-09-04 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 14233-14234 constitutes the refereed proceedings of the 22nd International Conference on Image Analysis and Processing, ICIAP 2023, held in Udine, Italy, during September 11–15, 2023. The 85 full papers presented together with 7 short papers were carefully reviewed and selected from 144 submissions. The conference focuses on video analysis and understanding; pattern recognition and machine learning; deep learning; multi-view geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; digital forensics and biometrics; image processing for cultural heritage; and robot vision.

Cross-Modal Learning: Adaptivity, Prediction and Interaction

Author : Jianwei Zhang
Publisher : Frontiers Media SA
ISBN 13 : 2889762548
Total Pages : 295 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Cross-Modal Learning: Adaptivity, Prediction and Interaction by : Jianwei Zhang

Download or read book Cross-Modal Learning: Adaptivity, Prediction and Interaction written by Jianwei Zhang and published by Frontiers Media SA. This book was released on 2023-02-02 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this Research Topic is to reflect and discuss links between neuroscience, psychology, computer science and robotics with regards to the topic of cross-modal learning which has, in recent years, emerged as a new area of interdisciplinary research. The term cross-modal learning refers to the synergistic synthesis of information from multiple sensory modalities such that the learning that occurs within any individual sensory modality can be enhanced with information from one or more other modalities. Cross-modal learning is a crucial component of adaptive behavior in a continuously changing world, and examples are ubiquitous, such as: learning to grasp and manipulate objects; learning to walk; learning to read and write; learning to understand language and its referents; etc. In all these examples, visual, auditory, somatosensory or other modalities have to be integrated, and learning must be cross-modal. In fact, the broad range of acquired human skills are cross-modal, and many of the most advanced human capabilities, such as those involved in social cognition, require learning from the richest combinations of cross-modal information. In contrast, even the very best systems in Artificial Intelligence (AI) and robotics have taken only tiny steps in this direction. Building a system that composes a global perspective from multiple distinct sources, types of data, and sensory modalities is a grand challenge of AI, yet it is specific enough that it can be studied quite rigorously and in such detail that the prospect for deep insights into these mechanisms is quite plausible in the near term. Cross-modal learning is a broad, interdisciplinary topic that has not yet coalesced into a single, unified field. Instead, there are many separate fields, each tackling the concerns of cross-modal learning from its own perspective, with currently little overlap. We anticipate an accelerating trend towards integration of these areas and we intend to contribute to that integration. By focusing on cross-modal learning, the proposed Research Topic can bring together recent progress in artificial intelligence, robotics, psychology and neuroscience.

Deep Learning for Medical Image Analysis

Author : S. Kevin Zhou
Publisher : Academic Press
ISBN 13 : 0128104090
Total Pages : 458 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Deep Learning for Medical Image Analysis by : S. Kevin Zhou

Download or read book Deep Learning for Medical Image Analysis written by S. Kevin Zhou and published by Academic Press. This book was released on 2017-01-18 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas. Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Covers common research problems in medical image analysis and their challenges Describes deep learning methods and the theories behind approaches for medical image analysis Teaches how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. Includes a Foreword written by Nicholas Ayache

Advances in Multimedia Information Processing -- PCM 2010, Part II

Author : Guoping Qiu
Publisher : Springer
ISBN 13 : 3642156967
Total Pages : 759 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Advances in Multimedia Information Processing -- PCM 2010, Part II by : Guoping Qiu

Download or read book Advances in Multimedia Information Processing -- PCM 2010, Part II written by Guoping Qiu and published by Springer. This book was released on 2010-09-13 with total page 759 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2010 Pacific-Rim Conference on Multimedia (PCM 2010) was held in Shanghai at Fudan University, during September 21–24, 2010. Since its inauguration in 2000, PCM has been held in various places around the Pacific Rim, namely Sydney (PCM 2000), Beijing (PCM 2001), Hsinchu (PCM 2002), Singapore (PCM 2003), Tokyo (PCM 2004), Jeju (PCM 2005), Zhejiang (PCM 2006), Hong Kong (PCM 2007), Tainan (PCM 2008), and Bangkok (PCM 2009). PCM is a major annual international conference organized as a forum for the dissemination of state-of-the-art technological advances and research results in the fields of theoretical, experimental, and applied multimedia analysis and processing. PCM 2010 featured a comprehensive technical program which included 75 oral and 56 poster presentations selected from 261 submissions from Australia, Canada, China, France, Germany, Hong Kong, India, Iran, Italy, Japan, Korea, Myanmar, Norway, Singapore, Taiwan, Thailand, the UK, and the USA. Three distinguished researchers, Prof. Zhi-Hua Zhou from Nanjing University, Dr. Yong Rui from Microsoft, and Dr. Tie-Yan Liu from Microsoft Research Asia delivered three keynote talks to the conference. We are very grateful to the many people who helped to make this conference a s- cess. We would like to especially thank Hong Lu for local organization, Qi Zhang for handling the publication of the proceedings, and Cheng Jin for looking after the c- ference website and publicity. We thank Fei Wu for organizing the special session on large-scale multimedia search in the social network settings.

Advances in Brain Inspired Cognitive Systems

Author : Cheng-Lin Liu
Publisher : Springer
ISBN 13 : 3319496859
Total Pages : 368 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Advances in Brain Inspired Cognitive Systems by : Cheng-Lin Liu

Download or read book Advances in Brain Inspired Cognitive Systems written by Cheng-Lin Liu and published by Springer. This book was released on 2016-11-11 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Brain Inspired Cognitive Systems, BICS 2016, held in Beijing, China, in November 2016. The 32 full papers presented were carefully reviewed and selected from 43 submissions. They discuss the emerging areas and challenges, present the state of the art of brain-inspired cognitive systems research and applications in diverse fields by covering many topics in brain inspired cognitive systems related research including biologically inspired systems, cognitive neuroscience, models consciousness, and neural computation.

Proceedings of 3rd International Conference on Computer Vision and Image Processing

Author : Bidyut B. Chaudhuri
Publisher : Springer Nature
ISBN 13 : 9813290889
Total Pages : 472 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Proceedings of 3rd International Conference on Computer Vision and Image Processing by : Bidyut B. Chaudhuri

Download or read book Proceedings of 3rd International Conference on Computer Vision and Image Processing written by Bidyut B. Chaudhuri and published by Springer Nature. This book was released on 2019-10-31 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of carefully selected works presented at the Third International Conference on Computer Vision & Image Processing (CVIP 2018). The conference was organized by the Department of Computer Science and Engineering of PDPM Indian Institute of Information Technology, Design & Manufacturing, Jabalpur, India during September 29–October 01, 2018. All the papers have been rigorously reviewed by the experts from the domain. This 2 volume proceedings include technical contributions in the areas of Image/Video Processing and Analysis; Image/Video Formation and Display; Image/Video Filtering, Restoration, Enhancement and Super-resolution; Image/Video Coding and Transmission; Image/Video Storage, Retrieval and Authentication; Image/Video Quality; Transform-based and Multi-resolution Image/Video Analysis; Biological and Perceptual Models for Image/Video Processing; Machine Learning in Image/Video Analysis; Probability and uncertainty handling for Image/Video Processing; and Motion and Tracking.

Statistical Machine Learning for Human Behaviour Analysis

Author : Thomas Moeslund
Publisher : MDPI
ISBN 13 : 3039362283
Total Pages : 300 pages
Book Rating : 4.0/5 (393 download)

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Book Synopsis Statistical Machine Learning for Human Behaviour Analysis by : Thomas Moeslund

Download or read book Statistical Machine Learning for Human Behaviour Analysis written by Thomas Moeslund and published by MDPI. This book was released on 2020-06-17 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Special Issue focused on novel vision-based approaches, mainly related to computer vision and machine learning, for the automatic analysis of human behaviour. We solicited submissions on the following topics: information theory-based pattern classification, biometric recognition, multimodal human analysis, low resolution human activity analysis, face analysis, abnormal behaviour analysis, unsupervised human analysis scenarios, 3D/4D human pose and shape estimation, human analysis in virtual/augmented reality, affective computing, social signal processing, personality computing, activity recognition, human tracking in the wild, and application of information-theoretic concepts for human behaviour analysis. In the end, 15 papers were accepted for this special issue. These papers, that are reviewed in this editorial, analyse human behaviour from the aforementioned perspectives, defining in most of the cases the state of the art in their corresponding field.

Concepts and Techniques of Graph Neural Networks

Author : Kumar, Vinod
Publisher : IGI Global
ISBN 13 : 1668469057
Total Pages : 267 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Concepts and Techniques of Graph Neural Networks by : Kumar, Vinod

Download or read book Concepts and Techniques of Graph Neural Networks written by Kumar, Vinod and published by IGI Global. This book was released on 2023-05-22 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advancements in graph neural networks have expanded their capacities and expressive power. Furthermore, practical applications have begun to emerge in a variety of fields including recommendation systems, fake news detection, traffic prediction, molecular structure in chemistry, antibacterial discovery physics simulations, and more. As a result, a boom of research at the juncture of graph theory and deep learning has revolutionized many areas of research. However, while graph neural networks have drawn a lot of attention, they still face many challenges when it comes to applying them to other domains, from a conceptual understanding of methodologies to scalability and interpretability in a real system. Concepts and Techniques of Graph Neural Networks provides a stepwise discussion, an exhaustive literature review, detailed analysis and discussion, rigorous experimentation results, and application-oriented approaches that are demonstrated with respect to applications of graph neural networks. The book also develops the understanding of concepts and techniques of graph neural networks and establishes the familiarity of different real applications in various domains for graph neural networks. Covering key topics such as graph data, social networks, deep learning, and graph clustering, this premier reference source is ideal for industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.