Results 11 to 20 of about 811,653 (307)
Detecting Word Substitutions in Text [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2008 Searching for words on a watchlist is one way in which large-scale surveillance of communication can be done, for example in intelligence and counterterrorism settings. One obvious defense is to replace words that might attract attention to a message with other, more innocuous, words.
Fong, SeWong +2 more
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Aggregated Text Transformer for Scene Text Detection [PDF]
CoRR, 2022 This paper explores the multi-scale aggregation strategy for scene text detection in natural images. We present the Aggregated Text TRansformer(ATTR), which is designed to represent texts in scene images with a multi-scale self-attention mechanism. Starting from the image pyramid with multiple resolutions, the features are first extracted at different ...
Zhao Zhou +3 more
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Rooms with Text: A Dataset for Overlaying Text Detection [PDF]
CoRR, 2022 Text in Everything workshop at ECCV ...
Oleg Smirnov, Aditya Tewari
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Vietnamese Text Error Detection Method for Multi-source Text [PDF]
Jisuanji gongchengText error detection is a topic of significant research interest within natural language processing, focusing on automatically identifying the location and type of erroneous words in input text.
ZHUANG Ziwei, ZHU Junguo
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A Multi-Layer Holistic Approach for Cursive Text Recognition
Applied Sciences, 2022 Urdu is a widely spoken and narrated language in several South-Asian countries and communities worldwide. It is relatively hard to recognize Urdu text compared to other languages due to its cursive writing style.
Muhammad Umair +6 more
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A bilingual text detection in natural images using heuristic and unsupervised learning [PDF]
Journal of Artificial Intelligence and Data Mining, 2022 Digital images are being produced in a massive number every day. Acomponent that may exist in digital images is text. Textual information can beextracted and used in a variety of fields. Noise, blur, distortions, occlusion, fontvariation, alignments, and
S. Bayatpour, M. Sharghi
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Detecting and Removing Text in the Wild [PDF]
IEEE Access, 2021 Scene text removal is a challenging task that aims to erase wild text regions that include text strokes and their ambiguous boundaries, such as embossing, shade, or flare. The challenging issues raised in the wild are not completely addressed by the existing methods.
Junho Cho +4 more
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Automatic detection of text genre [PDF]
Proceedings of the 35th annual meeting on Association for Computational Linguistics -, 1997 As the text databases available to users become larger and more heterogeneous, genre becomes increasingly important for computational linguistics as a complement to topical and structural principles of classification. We propose a theory of genres as bundles of facets, which correlate with various surface cues, and argue that genre detection based on ...
Brett Kessler +2 more
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Umanistica Digitale, 2021 This paper describes the preliminary results of an ancient history and computer science collaboration to apply machine learning to the identification of text within images of inscriptions, one of our major sources of evidence for the Roman world.
Charlotte Tupman +2 more
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Enabling Product Recognition and Tracking Based on Text Detection for Mobile Augmented Reality
IEEE Access, 2022 We propose a system that supports real-time product recognition and tracking based on text detection for mobile augmented reality. To accurately distinguish products with visually similar packages, we develop a method that recognizes product names by ...
Sangwon Hwang, Jisun Lee, Seungwoo Kang
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