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Educational Video Classification Using Fuzzy Logic Classifier Based on Arabic Closed Captions
2020The process of adding closed-captions to the E-Learning courses offers several benefits to the hard of hearing or deaf people. Closed captioning allows many different populations of viewers to access the contents of videos. Traditionally deaf/hard of hearing users are the population of this service, but captioning also helps non-native language ...
Shadi R. Masadeh, Saba A. Soub
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IcoCap: Improving Video Captioning by Compounding Images
IEEE Transactions on MultimediaVideo captioning is a more challenging task compared to image captioning, primarily due to differences in content density. Video data contains redundant visual content, making it difficult for captioners to generalize diverse content and avoid being ...
Yuanzhi Liang, Linchao Zhu, Xiaohan Wang
exaly +2 more sources
Caption Detection, Localization and Type Recognition in Arabic News Video
Proceedings of the 10th International Conference on Informatics and Systems, 2016In this paper, we propose a method to detect and localize all caption types in Arabic news videos. Moreover, different types of captions are considered including static, horizontal scrolling and vertical scrolling captions. Our method is able to deal with different patterns of appearance and disappearance of captions in news video.
Ibrahim A. Zedan +2 more
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Recognition and transition frame detection of Arabic news captions for video retrieval
2016 23rd International Conference on Pattern Recognition (ICPR), 2016The authors have conducted studies on recognizing Arabic news captions to develop a system for video retrieval to index and edit Arabic broadcast programs daily received and stored in big database. This paper describes a dedicated OCR for recognizing low resolution news captions in video images.
Seiya Iwata +3 more
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Analysis of Image Captioning Techniques in English and Arabic: A Review
2025 3rd International Conference on Business Analytics for Technology and Security (ICBATS)Image translation is needed because the amount of visual material on the internet has grown quickly. The computer keeps track of the picture's parts and features and then writes a complete description of it. There are several ways to use this model. This
Shams A. Ahmed, A. T. Abdulameer
semanticscholar +1 more source
Arabic Text Detection From Natural Images Using Transformers
International Symposium on Signal, Image, Video and CommunicationsText detection in the wild is an important stage for recognizing and interpreting text present in images or videos captured in uncontrolled environments in the wild.
Ayad Abdessamad, H. Ayad, A. Adib
semanticscholar +1 more source
Describe Anything: Detailed Localized Image and Video Captioning
IEEE International Conference on Computer VisionGenerating detailed and accurate descriptions for specific regions in images and videos remains a fundamental challenge for vision-language models. We introduce the Describe Anything Model (DAM), a model designed for detailed localized captioning (DLC ...
Long Lian +10 more
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