Multimodal Interactive Pattern Recognition and Applications
Many real-world applications of pattern recognition (PR) systems require human post-processing to correct the errors committed by machines. This can create bottlenecks in recognition systems, yielding high operational costs.This important text/reference p
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Alejandro Héctor Toselli Enrique Vidal Francisco Casacuberta
Multimodal Interactive Pattern Recognition and Applications
Dr. Alejandro Héctor Toselli Instituto Tecnológico de Informática Universidad Politécnica de Valencia Camino de Vera, s/n 46022 Valencia Spain [email protected]
Prof. Francisco Casacuberta Instituto Tecnológico de Informática Universidad Politécnica de Valencia Camino de Vera, s/n 46022 Valencia Spain [email protected]
Dr. Enrique Vidal Instituto Tecnológico de Informática Universidad Politécnica de Valencia Camino de Vera, s/n 46022 Valencia Spain [email protected]
ISBN 978-0-85729-478-4 e-ISBN 978-0-85729-479-1 DOI 10.1007/978-0-85729-479-1 Springer London Dordrecht Heidelberg New York British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Library of Congress Control Number: 2011929220 © Springer-Verlag London Limited 2011 Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licenses issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers. The use of registered names, trademarks, etc., in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant laws and regulations and therefore free for general use. The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made. Cover design: VTeX UAB, Lithuania Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Foreword
Traditionally, the aim of pattern recognition is to automatically solve complex recognition problems. However, it has been realized that in many real world applications a correct recognition rate is needed that is higher than the one reachable with completely automatic systems. Therefore, some sort of post-processing is applied where humans correct the errors committed by machine. It turns out, however, that very often this post-processing phase is the bottleneck of a recognition system, causing most of its operational costs. The current book possesses two unique features that distinguish it from other books on Pattern Recognition. First, it proposes a radically different approach to correcting the errors committed by a system. This approach is characterized by human and machine being tied up in a much closer loop than usually. That is, the human gets involved not only after the machine has completed producing its recognition result, in order to correct errors, but during the recognition proce
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