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A survey on text information extraction from born-digital and scene text images
SP Faustina Joan, S Valli - Proceedings of the National Academy of …, 2019 - Springer
Text information extraction (TIE) from images is an open research area because of its
unsolved challenges with respect to the heterogeneity in image types, mode of image …
unsolved challenges with respect to the heterogeneity in image types, mode of image …
A predictive scheduling framework for fast and distributed stream data processing
In a distributed stream data processing system, an application is usually modeled using a
directed graph, in which each vertex corresponds to a data source or a processing unit, and …
directed graph, in which each vertex corresponds to a data source or a processing unit, and …
A study and novel AI/ML-based framework to detect COVID-19 virus using smartphone embedded sensors
SARS-CoV-2 also known as COVID-19 is a novel corona virus which originated from China.
Corona virus disease COVID-19 is the official name given by WHO is caused by SARS …
Corona virus disease COVID-19 is the official name given by WHO is caused by SARS …
[HTML][HTML] A novel local skew correction and segmentation approach for printed multilingual Indian documents
Till date, many Indian government organizations do not have robust software to search for
words from scanned office documents having complex multilingual Indian scripts. Manual …
words from scanned office documents having complex multilingual Indian scripts. Manual …
A caption text detection method from images/videos for efficient indexing and retrieval of multimedia data
Textual information embedded in multimedia can provide a vital tool for indexing and
retrieval. Text extraction process has many inherent problems due to the variation in font …
retrieval. Text extraction process has many inherent problems due to the variation in font …
Fuzzy‐Based Segmentation for Variable Font‐Sized Text Extraction from Images/Videos
Textual information embedded in multimedia can provide a vital tool for indexing and
retrieval. A lot of work is done in the field of text localization and detection because of its very …
retrieval. A lot of work is done in the field of text localization and detection because of its very …
[PDF][PDF] Recognition of static gestures using correlation and cross-correlation
S Saqib, SAR Kazmi - Int. J. Adv. Appl. Sci, 2018 - academia.edu
Sign language recognition has been an active area of research for around two decades and
numerous sign languages have been extensively studied in order to design reliable sign …
numerous sign languages have been extensively studied in order to design reliable sign …
Semantic text detection in born-digital images via fully convolutional networks
N Nayef, JM Ogier - 2017 14th IAPR International Conference …, 2017 - ieeexplore.ieee.org
Traditional layout analysis methods cannot be easily adapted to born-digital images which
carry properties from both regular document images and natural scene images. One layout …
carry properties from both regular document images and natural scene images. One layout …
온라인 방송의 뉴스기사 유형에 대한 분석-네이버 뉴스스탠드의 방송사 홈페이지를 중심으로.
박광순 - Journal of Digital Convergence, 2021 - search.ebscohost.com
요약 본 연구는 네이버 뉴스스탠드의 9 개 방송사 홈페이지 뉴스기사에 대한 분석을 통해
온라인 방송의 뉴스기사유형은 어떻게 구성되고 있는가를 파악하기 위해 실시되었다. 분석을 …
온라인 방송의 뉴스기사유형은 어떻게 구성되고 있는가를 파악하기 위해 실시되었다. 분석을 …
[PDF][PDF] Research Article Fuzzy-Based Segmentation for Variable Font-Sized Text Extraction from Images/Videos
Textual information embedded in multimedia can provide a vital tool for indexing and
retrieval. A lot of work is done in the field of text localization and detection because of its very …
retrieval. A lot of work is done in the field of text localization and detection because of its very …