Results 231 to 240 of about 149,894 (279)

Characters Link Shots: Character Attention Network for Movie Scene Segmentation

ACM Transactions on Multimedia Computing, Communications, and Applications, 2023
Movie scene segmentation aims to automatically segment a movie into multiple story units, i.e., scenes, each of which is a series of semantically coherent and time-continual shots. Previous methods have continued efforts on shot semantic association, but few take into account the impact of different semantics on foreground characters and background ...
Jiawei Tan, Hongxing Wang, Junsong Yuan
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Offline Character recognition on Segmented Handwritten Kannada Characters

2019 Global Conference for Advancement in Technology (GCAT), 2019
Optical character recognition (OCR) is the conversion of pictures of typed or handwritten characters into machine encoded characters. We chose to work on a subfield of OCR, namely offline learning of handwritten characters. Kannada script is agglutinative, where simple shapes are concatenated horizontally to form words.
Kevin George Joe, Meghna Savit, K. Chandrasekaran   +2 more
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Character segmentation algorithms for Kannada optical character recognition

2008 International Conference on Wavelet Analysis and Pattern Recognition, 2008
In this paper we discuss various character segmentation algorithms for Kannada scripts. Kannada is one of the south Indian language which has 16 vowels and 34 consonants as the basic alphabet of the language. Segmentation algorithms are constructed after the deep study of peculiarities of the individual characters of Kannada.
B.M. Sagar, G. Shobha, P. Ramakanth Kumar   +2 more
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Printed Arabic optical character segmentation

SPIE Proceedings, 2015
A considerable progress in recognition techniques for many non-Arabic characters has been achieved. In contrary, few efforts have been put on the research of Arabic characters. In any Optical Character Recognition (OCR) system the segmentation step is usually the essential stage in which an extensive portion of processing is devoted and a considerable ...
Khader Mohammad, Muna Ayyesh, Aziz Qaroush, Iyad Tumar   +3 more
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Character Segmentation and Recognition

2014
This chapter presents methods for character segmentation from text lines and recognition of video characters. It is noted that character segmentation from video text lines detected by video text detection method is not as easy as segmenting characters from scanned document images due to low resolution and complex background of video.
Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu   +3 more
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Vehicle license plate character segmentation

International Journal of Automation and Computing, 2008
Vehicle license plate (VLP) character segmentation is an important part of the vehicle license plate recognition system (VLPRS). This paper proposes a least square method (LSM) to treat horizontal tilt and vertical tilt in VLP images. Auxiliary lines are added into the image (or the tilt-corrected image) to make the separated parts of each Chinese ...
Mei-Sen Pan, Jun-Biao Yan, Zheng-Hong Xiao   +2 more
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Automatic Handwritten Character Segmentation for Paleographical Character Shape Analysis

2016 12th IAPR Workshop on Document Analysis Systems (DAS), 2016
Written texts are both abstract and physical objects: ideas, signs and shapes, whose meanings, graphical systems and social connotations evolve through time. To study this dual nature of texts, paleographers need to analyse large scale corpora at the finest granularity, such as character shape.
Bluche, Théodore, Stutzmann, Dominique, Kermorvant, Christopher   +2 more
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New Segmentation Algorithm for Offline Handwritten Connected Character Segmentation

First International Conference on Industrial and Information Systems, 2006
An approach for the Segmentation of offline handwritten connected two-digit strings is presented in this paper. Very often even in a printed text, adjacent characters tend to touch or connect. This makes it a problem in performing proper character isolation, hence difficult in segmenting the digit strings in order to recognize its individual characters.
U.K.S. Jayarathna, G.E.M.D.C. Bandara
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A hybrid approach to character segmentation of gurmukhi script characters

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings., 2004
A new approach to segmentation of machine printed Gurmukhi text has been suggested. This approach can easily be extended to other Indian language scripts such as Devnagri and Bangla. Most of the characters in these scripts have horizontal lines at the top called headlines.
N.M. Davessar, S. Madan, H. Singh
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Touching character segmentation of Devanagari script

Proceedings of the 7th International Conference on Computing Communication and Networking Technologies, 2016
Segmentation of characters is one of the major step in OCR system. Devanagari script is a two dimensional form of symbol. It is very inconvenient to treat each form of character as a separate symbol because such combinations are very large in number. Segmentation is a process which separates words into characters.
Subith Babu, Mahesh Jangid
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