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Bridging The Semantic Gap


Bridging The Semantic Gap
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Bridging The Semantic Gap


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.




Bridging The Semantic Gap In Image And Video Analysis


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.



On Bridging The Semantic Gap In Knowledge Based Question Answering


On Bridging The Semantic Gap In Knowledge Based Question Answering
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Author : 殷鵬程
language : en
Publisher:
Release Date : 2016

On Bridging The Semantic Gap In Knowledge Based Question Answering written by 殷鵬程 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Question-answering systems categories.




Ontology Alignment


Ontology Alignment
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Author : Marc Ehrig
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-12-22

Ontology Alignment written by Marc Ehrig and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-12-22 with Computers categories.


This book introduces novel methods and approaches for semantic integration. In addition to developing ground-breaking new methods for ontology alignment, the author provides extensive explanations of up-to-date case studies. It includes a thorough investigation of the foundations and provides pointers to future steps in ontology alignment with conclusion linking this work to the knowledge society.



Bridging The Semantic Gap Using Human Vision System Inspired Features


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.



Media Computing


Media Computing
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Author : Chitra Dorai
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Media Computing written by Chitra Dorai and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyz ing image sequences, or video understanding. Video understanding deals with understanding of video sequences, e. g. , recognition of gestures, activities, fa cial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvious overlap with computer vision. The main goal of computer graphics is to gener ate and animate realistic looking images, and videos. Researchers in computer graphics are increasingly employing techniques from computer vision to gen erate the synthetic imagery. A good example of this is image-based rendering and modeling techniques, in which geometry, appearance, and lighting is de rived from real images using computer vision techniques. Here the shift is from synthesis to analysis followed by synthesis.



Multimedia Content Analysis And Mining


Multimedia Content Analysis And Mining
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Author : Nicu Sebe
language : en
Publisher: Springer
Release Date : 2007-07-10

Multimedia Content Analysis And Mining written by Nicu Sebe and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-10 with Computers categories.


Prominent international experts came together to present and debate the latest findings in the field at the 2007 International Workshop on Multimedia Content Analysis and Mining. This volume includes forty-six papers from the workshop as well as thirteen invited papers. The papers cover a wide range of cutting-edge issues, including all aspects of multimedia in the fields of entertainment, commerce, science, medicine, and public safety.



Theory And Practice Of Model Transformations


Theory And Practice Of Model Transformations
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Author : Antonio Vallecillo
language : en
Publisher: Springer
Release Date : 2008-07-01

Theory And Practice Of Model Transformations written by Antonio Vallecillo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-01 with Computers categories.


Models have become essential for dealing with the numerous aspects involved in developing and maintaining complex IT systems. Models allow capturing of the relevant aspects of a system from a given perspective, and at a precise level of abstraction. In addition to models, the transformations between them are other key elements in model-driven engineering. Model transformations allow the de?nition and implementation of the operations on models, and also provide achainthatenablestheautomateddevelopmentofasystemfromitscorrespo- ing models. Furthermore, model transformations may be realized using models, and are, therefore, an integral part of any model-driven approach. There are already several proposals for model transformation speci?cation, implementation and execution, which are beginning to be used by modeling practitioners. However, model transformations need specialized support in s- eral aspects in order to realize their full potential. The problem goes beyond having speci?c languages to represent model transformations; we also need to understandtheirfoundations,suchasthekeyconceptsandoperatorssupporting those languages, their semantics, and their structuring mechanisms and pr- erties (e. g. , modularity, composability and parametrization). In addition, model transformations can be stored in repositories as reusable assets, where they can be managed, discovered and reused. There is also a need to chain and combine model transformations in order to produce new and more powerful transfor- tions, and to be able to implement new operations on models. Finally, model transformations need methodology support, i. e. , they need to be integrated into software development methodologies supported by appropriate tools and en- ronments. These issues and concerns de?ne the focus of these proceedings.



Agent And Multi Agent Systems Technologies And Applications


Agent And Multi Agent Systems Technologies And Applications
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Author : Geun Sik Jo
language : en
Publisher: Springer
Release Date : 2008-04-03

Agent And Multi Agent Systems Technologies And Applications written by Geun Sik Jo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-03 with Computers categories.


Following from the very successful First KES Symposium on Agent and Multi-Agent Systems – Technologies and Applications (KES-AMSTA 2007), held in Wroclaw, Poland, 31 May–1 June 2007, the second event in the KES-AMSTA symposium series (KES-AMSTA 2008) was held in Incheon, Korea, March 26–28, 2008. The symposium was organized by the School of Computer and Information Engineering, Inha University, KES International and the KES Focus Group on Agent and Mul- agent Systems. The KES-AMSTA Symposium Series is a sub-series of the KES Conference Series. The aim of the symposium was to provide an international forum for scientific research into the technologies and applications of agent and multi-agent systems. Agent and multi-agent systems are related to the modern software which has long been recognized as a promising technology for constructing autonomous, complex and intelligent systems. A key development in the field of agent and multi-agent systems has been the specification of agent communication languages and formalization of ontologies. Agent communication languages are intended to provide standard declarative mechanisms for agents to communicate knowledge and make requests of each other, whereas ontologies are intended for conceptualization of the knowledge domain. The symposium attracted a very large number of scientists and practitioners who submitted their papers for nine main tracks concerning the methodology and applications of agent and multi-agent systems, a doctoral track and two special sessions.



Semantic Multimedia Analysis And Processing


Semantic Multimedia Analysis And Processing
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Author : Evaggelos Spyrou
language : en
Publisher: CRC Press
Release Date : 2017-12-19

Semantic Multimedia Analysis And Processing written by Evaggelos Spyrou and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-19 with Computers categories.


Broad in scope, Semantic Multimedia Analysis and Processing provides a complete reference of techniques, algorithms, and solutions for the design and the implementation of contemporary multimedia systems. Offering a balanced, global look at the latest advances in semantic indexing, retrieval, analysis, and processing of multimedia, the book features the contributions of renowned researchers from around the world. Its contents are based on four fundamental thematic pillars: 1) information and content retrieval, 2) semantic knowledge exploitation paradigms, 3) multimedia personalization, and 4) human-computer affective multimedia interaction. Its 15 chapters cover key topics such as content creation, annotation and modeling for the semantic web, multimedia content understanding, and efficiency and scalability. Fostering a deeper understanding of a popular area of research, the text: Describes state-of-the-art schemes and applications Supplies authoritative guidance on research and deployment issues Presents novel methods and applications in an informative and reproducible way Contains numerous examples, illustrations, and tables summarizing results from quantitative studies Considers ongoing trends and designates future challenges and research perspectives Includes bibliographic links for further exploration Uses both SI and US units Ideal for engineers and scientists specializing in the design of multimedia systems, software applications, and image/video analysis and processing technologies, Semantic Multimedia Analysis and Processing aids researchers, practitioners, and developers in finding innovative solutions to existing problems, opening up new avenues of research in uncharted waters.