Buch

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Übersicht

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Verlag	:	Springer International Publishing
Buchreihe	:	Intelligent Systems Reference Library (Bd. 145)
Sprache	:	Englisch
Erschienen	:	24. 01. 2019
Seiten	:	163
Einband	:	Kartoniert
Höhe	:	235 mm
Breite	:	155 mm
Gewicht	:	278 g
ISBN	:	9783030088798
Sprache	:	Englisch

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Autorinformation

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Professor Dr Halina Kwaśnicka is a Head of Department of Computational Intelligence at Wroclaw University of Science and Technology, Wroclaw, Poland and the Director of Graduate Schools. She was the Deputy Director for Scientific Researches of Institute of Informatics and the head of Division of Artificial Intelligence (in the Institute of Informatics). Over time, her research interest has evolved from nature-inspired methods, data mining, and knowledge-based systems to methods of generation of hierarchies of groups of objects, in the further goal to use them in clustering text documents and images. Such a hierarchy of images projected on ontology could allow inferring semantic content.Professor Kwaśnicka was and is involved in the realization of scientific national and international projects, and published as an author or co-author more than 200 journal and conference papers and books. Dr. Lakhmi C. Jain, PhD, ME, BE(Hons), Fellow (Engineers Australia) is with the Faculty of Education, Science, Technology & Mathematics at the University of Canberra, Australia and Bournemouth University, UK. Professor Jain founded the KES International for providing a professional community the opportunities for publications, knowledge exchange, cooperation and teaming. Involving around 5,000 researchers drawn from universities and companies world-wide, KES facilitates international cooperation and generate synergy in teaching and research. KES regularly provides networking opportunities for professional community through one of the largest conferences of its kind in the area of KES. His interests focus on the artificial intelligence paradigms and their applications in complex systems, security, e-education, e-healthcare, unmanned air vehicles and intelligent agents.

Inhaltsverzeichnis

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Semantic Gap in Image and Video Analysis: An Introduction.- Low-Level Feature Detectors and Descriptors for Smart Image and Video Analysis: A Comparative Study.- Scale-insensitive MSER Features: A Promising Tool for Meaningful Segmentation of Images.- Active Partitions in Localization of Semantically Important Image Structures.- Model-based 3D Object recognition in RGB-D Images.- Ontology-Based Structured Video Annotation for Content-Based Video Retrieval via Spatiotemporal Reasoning.- Deep Learning – a New Era in Bridging the Semantic Gap.

Deine Buchhandlung

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