Fr. 69.00

Video Text Detection

Inglese · Tascabile

Spedizione di solito entro 1 a 2 settimane (il titolo viene stampato sull'ordine)

Descrizione

Ulteriori informazioni

This book presents a systematic introduction to the latest developments in video text detection. Opening with a discussion of the underlying theory and a brief history of video text detection, the text proceeds to cover pre-processing and post-processing techniques, character segmentation and recognition, identification of non-English scripts, techniques for multi-modal analysis and performance evaluation. The detection of text from both natural video scenes and artificially inserted captions is examined. Various applications of the technology are also reviewed, from license plate recognition and road navigation assistance, to sports analysis and video advertising systems. Features: explains the fundamental theory in a succinct manner, supplemented with references for further reading; highlights practical techniques to help the reader understand and develop their own video text detection systems and applications; serves as an easy-to-navigate reference, presenting the material in self-contained chapters.

Sommario

Introduction to Video Text Detection.- Video Pre-Processing.- Video Caption Detection.- Text Detection from Video Scenes.- Post-Processing of Video Text Detection.- Character Segmentation and Recognition.- Video Text Detection Systems.- Script Identification.- Text Detection in Multi-modal Video Analysis.- Performance Evaluation.

Info autore










Dr. Tong Lu is an Associate Professor in the Department of Computer Science and Technology, and a member of the State Key Lab for Novel Software and Technology at Nanjing University, China.
Dr. Shivakumara Palaiahnakote is a Senior Lecturer in the Faculty of Computer Science and Information Technology at the University of Malaya, Kuala Lumpur, Malaysia.
Dr. Chew Lim Tan is a Professor in the School of Computing at the National University of Singapore.
Dr. Wenyin Liu is a Senior Research Fellow and Associate Director of the Multimedia Software Engineering Research Center at City University of Hong Kong.


Riassunto

This book presents a systematic introduction to the latest developments in video text detection. Opening with a discussion of the underlying theory and a brief history of video text detection, the text proceeds to cover pre-processing and post-processing techniques, character segmentation and recognition, identification of non-English scripts, techniques for multi-modal analysis and performance evaluation. The detection of text from both natural video scenes and artificially inserted captions is examined. Various applications of the technology are also reviewed, from license plate recognition and road navigation assistance, to sports analysis and video advertising systems. Features: explains the fundamental theory in a succinct manner, supplemented with references for further reading; highlights practical techniques to help the reader understand and develop their own video text detection systems and applications; serves as an easy-to-navigate reference, presenting the material in self-contained chapters.

Dettagli sul prodotto

Autori Wenyin Liu, Ton Lu, Tong Lu, Shivakumar Palaiahnakote, Shivakumara Palaiahnakote, Chew Lim Tan
Editore Springer, Berlin
 
Lingue Inglese
Formato Tascabile
Pubblicazione 01.01.2016
 
EAN 9781447170099
ISBN 978-1-4471-7009-9
Pagine 264
Dimensioni 154 mm x 236 mm x 17 mm
Peso 423 g
Illustrazioni X, 264 p. 160 illus.
Serie Advances in Computer Vision and Pattern Recognition
Advances in Computer Vision an
Advances in Computer Vision and Pattern Recognition
Advances in Pattern Recognition
Categoria Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo

Recensioni dei clienti

Per questo articolo non c'è ancora nessuna recensione. Scrivi la prima recensione e aiuta gli altri utenti a scegliere.

Scrivi una recensione

Top o flop? Scrivi la tua recensione.

Per i messaggi a CeDe.ch si prega di utilizzare il modulo di contatto.

I campi contrassegnati da * sono obbligatori.

Inviando questo modulo si accetta la nostra dichiarazione protezione dati.