Matches in SemOpenAlex for { <https://semopenalex.org/work/W2014660045> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W2014660045 abstract "In this paper, we address the issues pertaining to segmentation and recognition of cursive handwritten text from chalkboard lecture videos. Recognizing handwritten text is a challenging problem in instructor-led lecture video. The task gets even tougher with varying handwriting styles and blackboard type. Unlike handwritten text on whiteboard and electronic boards, chalkboard represents serious challenges such as, lack of uniform edge density, weak chalk contrast against blackboard and leftover chalk dust noise as a result of erasing -- and many others. Moreover, the varying color of boards and the illumination changes within the video makes it impossible to use trivial thresholding techniques, for the extraction of content. Many universities throughout the world still heavily rely on chalkboard as a mode of instruction. Therefore, recognizing these lecture content will not only aid in indexing and retrieval applications but will also help understand high level video semantics, useful for Multi-media Learning Objects (MLO). In order to encounter those adversaries, we here propose a system for segmentation and recognition of cursive handwritten text from chalkboard lecture videos. We first create a foreground model to segment background blackboard. We then segment the text characters using one-dimensional vertical histogram. Later, we extract gradient based features and classify those characters using an SVM classifier. We obtained an encouraging accuracy of 86.28% on 5-fold cross validation." @default.
- W2014660045 created "2016-06-24" @default.
- W2014660045 creator A5028698767 @default.
- W2014660045 creator A5031639663 @default.
- W2014660045 creator A5044015235 @default.
- W2014660045 creator A5068803496 @default.
- W2014660045 creator A5076654527 @default.
- W2014660045 date "2012-11-01" @default.
- W2014660045 modified "2023-10-18" @default.
- W2014660045 title "Cursive Handwritten Segmentation and Recognition for Instructional Videos" @default.
- W2014660045 cites W1493163589 @default.
- W2014660045 cites W1510526001 @default.
- W2014660045 cites W1993407226 @default.
- W2014660045 cites W2029991575 @default.
- W2014660045 cites W2096989099 @default.
- W2014660045 cites W2105476441 @default.
- W2014660045 cites W2116937666 @default.
- W2014660045 cites W2119761601 @default.
- W2014660045 cites W2125895901 @default.
- W2014660045 cites W2137131886 @default.
- W2014660045 cites W2139212933 @default.
- W2014660045 cites W2155765142 @default.
- W2014660045 cites W2156909104 @default.
- W2014660045 cites W2161369719 @default.
- W2014660045 cites W2168868236 @default.
- W2014660045 doi "https://doi.org/10.1109/sitis.2012.33" @default.
- W2014660045 hasPublicationYear "2012" @default.
- W2014660045 type Work @default.
- W2014660045 sameAs 2014660045 @default.
- W2014660045 citedByCount "5" @default.
- W2014660045 countsByYear W20146600452013 @default.
- W2014660045 countsByYear W20146600452015 @default.
- W2014660045 countsByYear W20146600452017 @default.
- W2014660045 countsByYear W20146600452018 @default.
- W2014660045 countsByYear W20146600452019 @default.
- W2014660045 crossrefType "proceedings-article" @default.
- W2014660045 hasAuthorship W2014660045A5028698767 @default.
- W2014660045 hasAuthorship W2014660045A5031639663 @default.
- W2014660045 hasAuthorship W2014660045A5044015235 @default.
- W2014660045 hasAuthorship W2014660045A5068803496 @default.
- W2014660045 hasAuthorship W2014660045A5076654527 @default.
- W2014660045 hasConcept C115961682 @default.
- W2014660045 hasConcept C153180895 @default.
- W2014660045 hasConcept C154945302 @default.
- W2014660045 hasConcept C191178318 @default.
- W2014660045 hasConcept C2778943297 @default.
- W2014660045 hasConcept C2779386606 @default.
- W2014660045 hasConcept C28490314 @default.
- W2014660045 hasConcept C41008148 @default.
- W2014660045 hasConcept C53533937 @default.
- W2014660045 hasConcept C89600930 @default.
- W2014660045 hasConceptScore W2014660045C115961682 @default.
- W2014660045 hasConceptScore W2014660045C153180895 @default.
- W2014660045 hasConceptScore W2014660045C154945302 @default.
- W2014660045 hasConceptScore W2014660045C191178318 @default.
- W2014660045 hasConceptScore W2014660045C2778943297 @default.
- W2014660045 hasConceptScore W2014660045C2779386606 @default.
- W2014660045 hasConceptScore W2014660045C28490314 @default.
- W2014660045 hasConceptScore W2014660045C41008148 @default.
- W2014660045 hasConceptScore W2014660045C53533937 @default.
- W2014660045 hasConceptScore W2014660045C89600930 @default.
- W2014660045 hasLocation W20146600451 @default.
- W2014660045 hasOpenAccess W2014660045 @default.
- W2014660045 hasPrimaryLocation W20146600451 @default.
- W2014660045 hasRelatedWork W2052253960 @default.
- W2014660045 hasRelatedWork W2058443653 @default.
- W2014660045 hasRelatedWork W2135219050 @default.
- W2014660045 hasRelatedWork W2347731544 @default.
- W2014660045 hasRelatedWork W2411367154 @default.
- W2014660045 hasRelatedWork W2754350655 @default.
- W2014660045 hasRelatedWork W2900829073 @default.
- W2014660045 hasRelatedWork W2902098370 @default.
- W2014660045 hasRelatedWork W3042956533 @default.
- W2014660045 hasRelatedWork W2151415411 @default.
- W2014660045 isParatext "false" @default.
- W2014660045 isRetracted "false" @default.
- W2014660045 magId "2014660045" @default.
- W2014660045 workType "article" @default.