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This book describes various new computer based approaches which can
be exploited for the (digital) reconstruction, recognition,
restoration, presentation and classification of digital heritage.
They are based on applications of virtual reality, augmented
reality and artificial intelligence, to be used for storing and
retrieving of historical artifacts, digital reconstruction, or
virtual viewing. The book is divided into three sections:
"Classification of Heritage Data" presents chapters covering
various domains and aspects including text categorization, image
retrieval and classification, and object spotting in historical
documents. Next, in "Detection and Recognition of Digital Heritage
Artifacts", techniques like neural networks or deep learning are
used for the restoration of degraded heritage documents, Tamil Palm
Leaf Characters recognition, the reconstruction of heritage images,
and the selection of suitable images for 3D reconstruction and
classification of Indian land mark heritage images. Lastly,
"Applications of Modern Tools in Digital Heritage" highlights some
example applications for dance transcription, architectural
geometry of early temples by digital reconstruction, and computer
vision based techniques for collecting and integrating knowledge on
flora. This book is mainly written for researchers and graduate
students in digital preservation and heritage, or computer
scientists looking for applications of virtual reality, computer
vision, and artificial intelligence techniques.
This book describes various new computer based approaches which can
be exploited for the (digital) reconstruction, recognition,
restoration, presentation and classification of digital heritage.
They are based on applications of virtual reality, augmented
reality and artificial intelligence, to be used for storing and
retrieving of historical artifacts, digital reconstruction, or
virtual viewing. The book is divided into three sections:
"Classification of Heritage Data" presents chapters covering
various domains and aspects including text categorization, image
retrieval and classification, and object spotting in historical
documents. Next, in "Detection and Recognition of Digital Heritage
Artifacts", techniques like neural networks or deep learning are
used for the restoration of degraded heritage documents, Tamil Palm
Leaf Characters recognition, the reconstruction of heritage images,
and the selection of suitable images for 3D reconstruction and
classification of Indian land mark heritage images. Lastly,
"Applications of Modern Tools in Digital Heritage" highlights some
example applications for dance transcription, architectural
geometry of early temples by digital reconstruction, and computer
vision based techniques for collecting and integrating knowledge on
flora. This book is mainly written for researchers and graduate
students in digital preservation and heritage, or computer
scientists looking for applications of virtual reality, computer
vision, and artificial intelligence techniques.
This book presents a unique guide to heritage preservation problems
and the corresponding state-of-the-art digital techniques to
achieve their plausible solutions. It covers various methods,
ranging from data acquisition and digital imaging to computational
methods for reconstructing the original (pre-damaged) appearance of
heritage artefacts.The case studies presented here are mostly drawn
from India's tangible and non-tangible heritage, which is very rich
and multi-dimensional. The contributing authors have been working
in their respective fields for years and present their methods so
lucidly that they can be easily reproduced and implemented by
general practitioners of heritage curation. The preservation
methods, reconstruction methods, and corresponding results are all
illustrated with a wealth of colour figures and images.The book
consists of sixteen chapters that are divided into five broad
sections, namely (i) Digital System for Heritage Preservation, (ii)
Signal and Image Processing, (iii) Audio and Video Processing, (iv)
Image and Video Database, and (v) Architectural Modelling and
Visualization. The first section presents various state-of-the-art
tools and technologies for data acquisition including an
interactive graphical user interface (GUI) annotation tool and a
specialized imaging system for generating the realistic visual
forms of the artefacts. Numerous useful methods and algorithms for
processing vocal, visual and tactile signals related to heritage
preservation are presented in the second and third sections. In
turn, the fourth section provides two important image and video
databases, catering to members of the computer vision community
with an interest in the domain of digital heritage. Finally,
examples of reconstructing ruined monuments on the basis of
historic documents are presented in the fifth section. In essence,
this book offers a pragmatic appraisal of the uses of digital
technology in the various aspects of preservation of tangible and
intangible heritages.
This book presents a unique guide to heritage preservation problems
and the corresponding state-of-the-art digital techniques to
achieve their plausible solutions. It covers various methods,
ranging from data acquisition and digital imaging to computational
methods for reconstructing the original (pre-damaged) appearance of
heritage artefacts.The case studies presented here are mostly drawn
from India's tangible and non-tangible heritage, which is very rich
and multi-dimensional. The contributing authors have been working
in their respective fields for years and present their methods so
lucidly that they can be easily reproduced and implemented by
general practitioners of heritage curation. The preservation
methods, reconstruction methods, and corresponding results are all
illustrated with a wealth of colour figures and images.The book
consists of sixteen chapters that are divided into five broad
sections, namely (i) Digital System for Heritage Preservation, (ii)
Signal and Image Processing, (iii) Audio and Video Processing, (iv)
Image and Video Database, and (v) Architectural Modelling and
Visualization. The first section presents various state-of-the-art
tools and technologies for data acquisition including an
interactive graphical user interface (GUI) annotation tool and a
specialized imaging system for generating the realistic visual
forms of the artefacts. Numerous useful methods and algorithms for
processing vocal, visual and tactile signals related to heritage
preservation are presented in the second and third sections. In
turn, the fourth section provides two important image and video
databases, catering to members of the computer vision community
with an interest in the domain of digital heritage. Finally,
examples of reconstructing ruined monuments on the basis of
historic documents are presented in the fifth section. In essence,
this book offers a pragmatic appraisal of the uses of digital
technology in the various aspects of preservation of tangible and
intangible heritages.
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Pattern Recognition and Machine Intelligence - Third International Conference, PReMI 2009 New Delhi, India, December 16-20, 2009 Proceedings (Paperback, 2009 ed.)
Santanu Chaudhury, Sushmita Mitra, C. a. Murthy, P.S. Sastry, Sankar Kumar Pal
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R3,071
Discovery Miles 30 710
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Ships in 10 - 15 working days
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This volume contains the proceedings of the third international
conference on Pattern Recognition and Machine Intelligence (PReMI
2009) which was held at the Indian Institute of Technology, New
Delhi, India, during December 16-20, 2009. This was the third
conference in the series. The first two conferences were held in
December at the Indian Statistical Institute, Kolkata in 2005 and
2007. PReMI has become a premier conference in India presenting
state-of-art research findings in the areas of machine intelligence
and pattern recognition. The conference is also successful in
encouraging academic and industrial interaction, and in prom- ing
collaborative research and developmental activities in pattern
recognition, - chine intelligence and other allied fields,
involving scientists, engineers, professionals, researchers and
students from India and abroad. The conference is scheduled to be
held every alternate year making it an ideal platform for sharing
views and expe- ences in these fields in a regular manner. The
focus of PReMI 2009 was soft-computing, machine learning, pattern
recognition and their applications to diverse fields. As part of
PReMI 2009 we had two special workshops. One workshop focused on
text mining. The other workshop show-cased industrial and
developmental projects in the relevant areas. Premi 2009 attracted
221 submissions from different countries across the world.
This book focuses on end-to-end robotic applications using vision
and control algorithms, exposing its readers to design innovative
solutions towards sensors-guided robotic bin-picking and assembly
in an unstructured environment. The use of sensor fusion is
demonstrated through a bin-picking task of texture-less cylindrical
objects. The system identification techniques are also discussed
for obtaining precise kinematic and dynamic parameters of an
industrial robot which facilitates the control schemes to perform
pick-and-place tasks autonomously without any interference from the
user. The uniqueness of this book lies in a judicious balance
between theory and technology within the context of industrial
application. Therefore, it will be valuable to researchers working
in the area of vision- and force control- based robotics, as well
as beginners in this inter-disciplinary area, as it deals with the
basics and technologically advanced research strategies.
The result of more than 15 years of collective research, Multimedia
Ontology: Representation and Applications provides a theoretical
foundation for understanding the nature of media data and the
principles involved in its interpretation. The book presents a
unified approach to recent advances in multimedia and explains how
a multimedia ontology can fill the semantic gap between concepts
and the media world. It relays real-life examples of
implementations in different domains to illustrate how this gap can
be filled. The book contains information that helps with building
semantic, content-based search and retrieval engines and also with
developing vertical application-specific search applications. It
guides you in designing multimedia tools that aid in logical and
conceptual organization of large amounts of multimedia data. As a
practical demonstration, it showcases multimedia applications in
cultural heritage preservation efforts and the creation of virtual
museums. The book describes the limitations of existing ontology
techniques in semantic multimedia data processing, as well as some
open problems in the representations and applications of multimedia
ontology. As an antidote, it introduces new ontology representation
and reasoning schemes that overcome these limitations. The long,
compiled efforts reflected in Multimedia Ontology: Representation
and Applications are a signpost for new achievements and
developments in efficiency and accessibility in the field.
The result of more than 15 years of collective research, Multimedia
Ontology: Representation and Applications provides a theoretical
foundation for understanding the nature of media data and the
principles involved in its interpretation. The book presents a
unified approach to recent advances in multimedia and explains how
a multimedia ontology can fill the semantic gap between concepts
and the media world. It relays real-life examples of
implementations in different domains to illustrate how this gap can
be filled. The book contains information that helps with building
semantic, content-based search and retrieval engines and also with
developing vertical application-specific search applications. It
guides you in designing multimedia tools that aid in logical and
conceptual organization of large amounts of multimedia data. As a
practical demonstration, it showcases multimedia applications in
cultural heritage preservation efforts and the creation of virtual
museums. The book describes the limitations of existing ontology
techniques in semantic multimedia data processing, as well as some
open problems in the representations and applications of multimedia
ontology. As an antidote, it introduces new ontology representation
and reasoning schemes that overcome these limitations. The long,
compiled efforts reflected in Multimedia Ontology: Representation
and Applications are a signpost for new achievements and
developments in efficiency and accessibility in the field.
This book focuses on end-to-end robotic applications using vision
and control algorithms, exposing its readers to design innovative
solutions towards sensors-guided robotic bin-picking and assembly
in an unstructured environment. The use of sensor fusion is
demonstrated through a bin-picking task of texture-less cylindrical
objects. The system identification techniques are also discussed
for obtaining precise kinematic and dynamic parameters of an
industrial robot which facilitates the control schemes to perform
pick-and-place tasks autonomously without any interference from the
user. The uniqueness of this book lies in a judicious balance
between theory and technology within the context of industrial
application. Therefore, it will be valuable to researchers working
in the area of vision- and force control- based robotics, as well
as beginners in this inter-disciplinary area, as it deals with the
basics and technologically advanced research strategies.
This volume constitutes the proceedings of the 11th International
Conference on Intelligent Human Computer Interaction, IHCI 2019,
held in Allahabad, India, in December 2019. The 25 full papers
presented in this volume were carefully reviewed and selected from
73 submissions. The papers are grouped in the following topics: EEG
and other biological signal based interactions; natural language,
speech and dialogue processing; vision based interactions;
assistive living and rehabilitation; and applications of HCI.
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Computer Vision, Graphics, and Image Processing - ICVGIP 2016 Satellite Workshops, WCVA, DAR, and MedImage, Guwahati, India, December 19, 2016 Revised Selected Papers (Paperback, 1st ed. 2017)
Snehasis Mukherjee, Suvadip Mukherjee, Dipti Prasad Mukherjee, Jayanthi Sivaswamy, Suyash Awate, …
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R2,802
Discovery Miles 28 020
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Ships in 10 - 15 working days
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This book constitutes the refereed conference proceedings of the
ICVGIP 2016 Satellite Workshops, WCVA, DAR, and MedImage, held in
Guwahati, India, in December 2016. The papers presented are
extended versions of the papers of three of the four workshops:
Computer Vision Applications, Document Analysis and Recognition and
Medical Image Processing. The Computer Vision Application track
received 52 submissions and after a rigorous review process, 18
papers were presented. The focus is mainly on industrial
applications of computer vision and related technologies. The
Document Analysis and Recognition track received 10 submissions
from which 7 papers were selected. The MedImage workshops focuses
on problems in medical image computing and received 14 papers from
which 9 were accepted for presentation in this book.
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