Word spotting in the wild

End-to-end scene text recognition

  • Computer Science

    2011 International Conference on Computer Vision

  • 2011

While scene text recognition has generally been treated with highly domain-specific methods, the results demonstrate the suitability of applying generic computer vision methods.

Label embedding for text recognition

  • José A. Rodríguez-SerranoF. Perronnin
  • Computer Science

    BMVC

  • 2013

This paper proposes to embed word labels and word images into a common Euclidean space and presents the following advantages: it does not require costly preor post-processing operations, it allows for the recognition of never-seen-before words and the recognition process is efficient.

Improving Open-Vocabulary Scene Text Recognition

  • Jacqueline L. FeildE. Learned-Miller
  • Computer Science

    2013 12th International Conference on Document Analysis and Recognition

  • 2013

A novel technique for text segmentation that models smooth color changes across images and combines a recognition component based on a conditional random field with histogram of oriented gradients descriptors and incorporate language information from a lexicon to improve recognition performance.

Key-word Guided Word Spotting In Printed Text

  • Vinay Raj HampapurTahrina RumuU. Yoruk
  • Computer Science

  • 2011

A text detection framework which could be run on mobile platforms was proposed and implemented and it was found that Shape Context and Harris Corner methods effectively discern between words and that only Harris Corner in conjunction with profiling, owing to its fast computation speed, was suited for mobile platform use.

SHOWING 1-10 OF 25 REFERENCES

Word image matching using dynamic time warping

  • T. RathR. Manmatha
  • Computer Science

    2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.

  • 2003

This work presents an algorithm for matching handwritten words in noisy historical documents that performs better and is faster than competing matching techniques and presents experimental results on two different data sets from the George Washington collection.

At the frontiers of OCR

  • G. Nagy
  • Computer Science

    Proc. IEEE

  • 1992

It is argued that it is time for a major change of approach to optical character recognition (OCR) research, and new OCR systems should take advantage of the typographic uniformity of paragraphs or other layout components.

Motivated by the success of powerful while expensive techniques to recognize
words in a holistic way, object proposals techniques emerge as an alternative
to the traditional text detectors. In this paper we introduce a novel object
proposals method that is specifically designed for text. We rely on a
similarity based region grouping algorithm that generates a hierarchy of word
hypotheses. Over the nodes of this hierarchy it is possible to apply a holistic
word recognition method in an efficient way.
Our experiments demonstrate that the presented method is superior in its
ability of producing good quality word proposals when compared with
class-independent algorithms. We show impressive recall rates with a few
thousand proposals in different standard benchmarks, including focused or
incidental text datasets, and multi-language scenarios. Moreover, the
combination of our object proposals with existing whole-word recognizers shows
competitive performance in end-to-end word spotting, and, in some benchmarks,
outperforms previously published results. Concretely, in the challenging
ICDAR2015 Incidental Text dataset, we overcome in more than 10 percent f-score
the best-performing method in the last ICDAR Robust Reading Competition. Source
code of the complete end-to-end system is available at
https://github.com/lluisgomez/TextProposals

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Kai Wang, Serge J. Belongie (2010)

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  • Kai Wang, Serge J. Belongie:
    Word Spotting in the Wild. ECCV (1) 2010: 591-604text to speech

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Question

Updated on

15 Oct 2021




  • Japanese
  • English (US)

Question about English (US)

What does spotted in the wild mean?

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  • English (US)

  • Russian
    Near fluent

@TahitiNui That is more of a facetious expression. Literally, «in the wild» is applied to animals or plants. When it’s used with something else, you’re comparing that something to some kind of a hard to find wild animal. The exact point the author is trying to make would depend on context, but in general you can treat «in the wild» as «somewhere out there».




  • English (US)

  • Russian
    Near fluent

seen outside of a zoo or any other artificial environment




  • Japanese

@cmertb
Thank you for answer. But how about a word or expression? For example, ‘A certain word is spotted in the wild. ‘




  • English (US)

  • Russian
    Near fluent

@TahitiNui That is more of a facetious expression. Literally, «in the wild» is applied to animals or plants. When it’s used with something else, you’re comparing that something to some kind of a hard to find wild animal. The exact point the author is trying to make would depend on context, but in general you can treat «in the wild» as «somewhere out there».

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