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ECCV
2010
Springer
13 years 10 months ago
Word Spotting in the Wild
We present a method for spotting words in the wild, i.e., in real images taken in unconstrained environments. Text found in the wild has a surprising range of difficulty. At one en...
ICANN
2007
Springer
13 years 11 months ago
An Application of Recurrent Neural Networks to Discriminative Keyword Spotting
Abstract. Keyword spotting is a detection task consisting in discovering the presence of specific spoken words in unconstrained speech. The majority of keyword spotting systems ar...
Santiago Fernández, Alex Graves, Jürge...
CVPR
2010
IEEE
14 years 29 days ago
Efficient Action Spotting based on a Spacetime Oriented Structure Representation
This paper addresses action spotting, the spatiotemporal detection and localization of human actions in video. A novel compact local descriptor of video dynamics in the context of...
Konstantinos Derpanis, Mikhail Sizintsev, Kevin Ca...
ICPR
2008
IEEE
13 years 11 months ago
Unsupervised writer style adaptation for handwritten word spotting
We propose a novel approach for writer adaptation in a word spotting task. The method exploits the fact that a semi-continuous hidden Markov model separates the word model paramet...
José A. Rodríguez, Florent Perronnin...
ICDAR
2009
IEEE
13 years 11 months ago
Segmentation-free Word Spotting in Historical Printed Documents
In this paper, a new efficient word spotting methodology is presented that can be applied to historical printed documents without requiring any previous block or word segmentation...
Basilios Gatos, Ioannis Pratikakis