Abstract
Video content has become one of the most noticeable online trends of recent times. It is no secret that videos have become a staple of everyone’s life. WCAG 2.0 suggested that closed captioning is needed to provide accessible audio content for the audience who are Deaf and Hard of Hearing due to their disability in pursuing the auditory information. Caption files are plain text files with time codes information for each frame. Readability of caption is one major challenge, due to variation in speaking rate and reading rate. The time duration of caption frame affects the flow of text perceived by the reader. This paper proposes a novel model for caption readability based on time dimension. The proposed algorithm calculates the readability of each frame corresponds to the time duration. As a result, we analyzed the caption frames with respect to time, word count, and syllables and identified that the time gap enhances the caption readability.
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Pantula, M., Kuppusamy, K.S. (2018). A Model to Measure Readability of Captions with Temporal Dimension. In: Somani, A., Srivastava, S., Mundra, A., Rawat, S. (eds) Proceedings of First International Conference on Smart System, Innovations and Computing. Smart Innovation, Systems and Technologies, vol 79. Springer, Singapore. https://doi.org/10.1007/978-981-10-5828-8_22
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DOI: https://doi.org/10.1007/978-981-10-5828-8_22
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