Bridging The Semantic Gap Using Human Vision System Inspired Features
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Bridging The Semantic Gap Using Human Vision System Inspired Features
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Author : Gaetan Martens
language : en
Publisher:
Release Date : 2010
Bridging The Semantic Gap Using Human Vision System Inspired Features written by Gaetan Martens and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Due to the semantic gap, the automatic interpretation of images is an intricate task. In this chapter, we have presented a bottom-up approach for the segmentation and interpretation of outdoor scenery images. We established a link between the proposed low-level, biological features and some predefined semantic concepts by applying a SOM for classification. Our method generally consists of two stages. At first, color opponent values and textures are extracted from the image's pixels. Color opponent values induce comparable classification results as colors from the HSI space. Since the transformation of RGB into color opponent values is computationally less expensive than the transformation into HSI, the former are preferred over the latter. The texture features consist of enhanced grating cell features and smoothed Gabor responses and correspond to outputs of cells found in the primary visual cortex of primates and humans. Analogously to the processing principles of the auditory and visual cortex, Self-Organizing Maps are used for the unsupervised segmentation and labeling of textured images. Even using small-sized maps, high precision image segmentations can be obtained (both on gray-scale and on natural color textures). By adding color information, the precision of the segmentation results averagely increased with 5% to a total of 91% of the pixels. In the next stage, the same features are used to train a SelfOrganizing Map with textures belonging to one of the 5 predefined classes: (i) grass, (ii) bricks, (iii) branches, (iv) water, and (v) sky. This map is then used to label the previously obtained image segments. Experiments conducted on randomly collected images from the World Wide Web achieved a precision of 89%. The latter observations indicate that the application of biologically inspired features is very useful for scene interpretation and categorization. We further believe that the classification can be improved by (i) a more accurate segmentation, (ii) a larger, more representative training set, and by (iii) introducing high-level domain knowledge (i.e. a top-down approach). These aspects will be thoroughly investigated. In order to recognize more concepts, we have experienced that when extra texture classes are added to the training set, the number of misclassifications drastically increases. A solution to this problem might be the introduction of hierarchical or treestructured Self-Organizing Maps (Koikkalainen & Oja, 1990). Nodes containing two (or more) classes are, in a next stage, split up into different clusters what results in the separation of the related concepts. Furthermore, since the visual cortex contains different types of (complex) cells which are tuned to a specific task (e.g., for the detection of edges), we believe that they can also play an important role in image understanding.
Bridging The Semantic Gap In Image And Video Analysis
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Author : Halina Kwaśnicka
language : en
Publisher: Springer
Release Date : 2018-02-20
Bridging The Semantic Gap In Image And Video Analysis written by Halina Kwaśnicka and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-20 with Technology & Engineering categories.
This book presents cutting-edge research on various ways to bridge the semantic gap in image and video analysis. The respective chapters address different stages of image processing, revealing that the first step is a future extraction, the second is a segmentation process, the third is object recognition, and the fourth and last involve the semantic interpretation of the image. The semantic gap is a challenging area of research, and describes the difference between low-level features extracted from the image and the high-level semantic meanings that people can derive from the image. The result greatly depends on lower level vision techniques, such as feature selection, segmentation, object recognition, and so on. The use of deep models has freed humans from manually selecting and extracting the set of features. Deep learning does this automatically, developing more abstract features at the successive levels. The book offers a valuable resource for researchers, practitioners, students and professors in Computer Engineering, Computer Science and related fields whose work involves images, video analysis, image interpretation and so on.
Bio Inspired Computational Intelligence And Applications
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Author : Minrui Fei
language : en
Publisher: Springer
Release Date : 2007-08-26
Bio Inspired Computational Intelligence And Applications written by Minrui Fei and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-26 with Computers categories.
This book is part of a two-volume work that constitutes the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2007, held in Shanghai, China, September 2007. Coverage includes advanced neural network theory, advanced evolutionary computing theory, ant colonies and particle swarm optimization, intelligent modeling, monitoring, and control of complex nonlinear systems, as well as biomedical signal processing, imaging and visualization.
Computer Vision For Multimedia Applications Methods And Solutions
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Author : Wang, Jinjun
language : en
Publisher: IGI Global
Release Date : 2010-10-31
Computer Vision For Multimedia Applications Methods And Solutions written by Wang, Jinjun and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-31 with Computers categories.
"This book presents the latest developments in computer vision methods applicable to various problems in multimedia computing, including new ideas, as well as problems in computer vision and multimedia computing"--Provided by publisher.
Computational Vision And Bio Inspired Computing
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Author : S. Smys
language : en
Publisher: Springer Nature
Release Date : 2020-01-06
Computational Vision And Bio Inspired Computing written by S. Smys and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-06 with Technology & Engineering categories.
This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. Due to the rapid advances in the emerging information, communication and computing technologies, the Internet of Things, cloud and edge computing, and artificial intelligence play a significant role in the computational vision context. In recent years, computational vision has contributed to enhancing the methods of controlling the operations in biological systems, like ant colony optimization, neural networks, and immune systems. Moreover, the ability of computational vision to process a large number of data streams by implementing new computing paradigms has been demonstrated in numerous studies incorporating computational techniques in the emerging bio-inspired models. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization, and big data modeling and management, that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems, and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.
New Trends In Computational Vision And Bio Inspired Computing
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Author : S. Smys
language : en
Publisher: Springer Nature
Release Date : 2020-09-27
New Trends In Computational Vision And Bio Inspired Computing written by S. Smys and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-27 with Computers categories.
This volume gathers selected, peer-reviewed original contributions presented at the International Conference on Computational Vision and Bio-inspired Computing (ICCVBIC) conference which was held in Coimbatore, India, on November 29-30, 2018. The works included here offer a rich and diverse sampling of recent developments in the fields of Computational Vision, Fuzzy, Image Processing and Bio-inspired Computing. The topics covered include computer vision; cryptography and digital privacy; machine learning and artificial neural networks; genetic algorithms and computational intelligence; the Internet of Things; and biometric systems, to name but a few. The applications discussed range from security, healthcare and epidemic control to urban computing, agriculture and robotics. In this book, researchers, graduate students and professionals will find innovative solutions to real-world problems in industry and society as a whole, together with inspirations for further research.
Interdisciplinary Design Proceedings Of The 21st Cirp Design Conference
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Author :
language : en
Publisher: Mary Kathryn Thompson
Release Date :
Interdisciplinary Design Proceedings Of The 21st Cirp Design Conference written by and has been published by Mary Kathryn Thompson this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Neural Information Processing
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Author : Derong Liu
language : en
Publisher: Springer
Release Date : 2017-11-07
Neural Information Processing written by Derong Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-07 with Computers categories.
The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563 full papers presented were carefully reviewed and selected from 856 submissions. The 6 volumes are organized in topical sections on Machine Learning, Reinforcement Learning, Big Data Analysis, Deep Learning, Brain-Computer Interface, Computational Finance, Computer Vision, Neurodynamics, Sensory Perception and Decision Making, Computational Intelligence, Neural Data Analysis, Biomedical Engineering, Emotion and Bayesian Networks, Data Mining, Time-Series Analysis, Social Networks, Bioinformatics, Information Security and Social Cognition, Robotics and Control, Pattern Recognition, Neuromorphic Hardware and Speech Processing.
Multimedia Forensics And Security
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Author : Aboul Ella Hassanien
language : en
Publisher: Springer
Release Date : 2016-10-17
Multimedia Forensics And Security written by Aboul Ella Hassanien and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-17 with Technology & Engineering categories.
This book presents recent applications and approaches as well as challenges in digital forensic science. One of the evolving challenges that is covered in the book is the cloud forensic analysis which applies the digital forensic science over the cloud computing paradigm for conducting either live or static investigations within the cloud environment. The book also covers the theme of multimedia forensics and watermarking in the area of information security. That includes highlights on intelligence techniques designed for detecting significant changes in image and video sequences. Moreover, the theme proposes recent robust and computationally efficient digital watermarking techniques. The last part of the book provides several digital forensics related applications, including areas such as evidence acquisition enhancement, evidence evaluation, cryptography, and finally, live investigation through the importance of reconstructing the botnet attack scenario to show the malicious activities and files as evidences to be presented in a court.
Bridging The Semantic Gap
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Author : Caroline Beebe
language : en
Publisher:
Release Date : 2006
Bridging The Semantic Gap written by Caroline Beebe and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computer science categories.