Bridging The Semantic Gap
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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.
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.
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
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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
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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.
Description Logics In Multimedia Reasoning
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Author : Leslie F. Sikos
language : en
Publisher: Springer
Release Date : 2017-06-28
Description Logics In Multimedia Reasoning written by Leslie F. Sikos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-28 with Computers categories.
This book illustrates how to use description logic-based formalisms to their full potential in the creation, indexing, and reuse of multimedia semantics. To do so, it introduces researchers to multimedia semantics by providing an in-depth review of state-of-the-art standards, technologies, ontologies, and software tools. It draws attention to the importance of formal grounding in the knowledge representation of multimedia objects, the potential of multimedia reasoning in intelligent multimedia applications, and presents both theoretical discussions and best practices in multimedia ontology engineering. Readers already familiar with mathematical logic, Internet, and multimedia fundamentals will learn to develop formally grounded multimedia ontologies, and map concept definitions to high-level descriptors. The core reasoning tasks, reasoning algorithms, and industry-leading reasoners are presented, while scene interpretation via reasoning is also demonstrated. Overall, this book offers readers an essential introduction to the formal grounding of web ontologies, as well as a comprehensive collection and review of description logics (DLs) from the perspectives of expressivity and reasoning complexity. It covers best practices for developing multimedia ontologies with formal grounding to guarantee decidability and obtain the desired level of expressivity while maximizing the reasoning potential. The capabilities of such multimedia ontologies are demonstrated by DL implementations with an emphasis on multimedia reasoning applications.
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.
Media Computing
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Author : Chitra Dorai
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-06-30
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 2002-06-30 with Computers categories.
Explores the annotation, indexing, and organization of media content for automated search and retrieval systems. The incompatibility between low-level features that can be computed automatically to describe media content and the high-level meaning associated with the content by users is known as the semantic gap. This collection of eight papers introduces the computational media aesthetics approach to the semantic gap, outlines its foundations in media production principles, and presents a computational framework for deriving high- level semantic constructs from recorded audio and video. Topics include space-time mappings as database browsing tools, modeling color dynamics for the semantics of commercials, and determining affective events through film audio. Annotation copyrighted by Book News, Inc., Portland, OR
Ontology Learning And Population
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Author : Paul Buitelaar
language : en
Publisher: IOS Press
Release Date : 2008
Ontology Learning And Population written by Paul Buitelaar and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
The promise of the Semantic Web is that future web pages will be annotated not only with bright colors and fancy fonts as they are now, but with annotation extracted from large domain ontologies that specify, to a computer in a way that it can exploit, what information is contained on the given web page. The presence of this information will allow software agents to examine pages and to make decisions about content as humans are able to do now. The classic method of building an ontology is to gather a committee of experts in the domain to be modeled by the ontology, and to have this committee.
Sentic Computing
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Author : Erik Cambria
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-07-28
Sentic Computing written by Erik Cambria 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 2012-07-28 with Medical categories.
In this book common sense computing techniques are further developed and applied to bridge the semantic gap between word-level natural language data and the concept-level opinions conveyed by these. In particular, the ensemble application of graph mining and multi-dimensionality reduction techniques is exploited on two common sense knowledge bases to develop a novel intelligent engine for open-domain opinion mining and sentiment analysis. The proposed approach, termed sentic computing, performs a clause-level semantic analysis of text, which allows the inference of both the conceptual and emotional information associated with natural language opinions and, hence, a more efficient passage from (unstructured) textual information to (structured) machine-processable data.