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Timeline binder: a caption-based approach for creating semantic video timeline

Author(s)
Muhammad Faran Majeed Department of Computer Science, Kohsar University Murree, Punjab, Pakistan
Sadam Hussain Department of Computer Science, Kohsar University Murree, Punjab, Pakistan
Abbasi Rehan Tariq Department of Computer Science, Kohsar University Murree, Punjab, Pakistan
Alam Zeb Department of Computer Science, Shaheed Benazir Bhutto University Sheringal, Dir (U), Pakistan
Khalid Saeed Department of Computer Science, Shaheed Benazir Bhutto University Sheringal, Dir (U), Pakistan
Rana Abu Bakar Institute of Telecommunications, Informatics and Photonics (TeCIP), Scuola Superiore Sant'Anna, Pisa, Italy
Abstract
Video is an important multimedia type with myriad characteristics such as richer content and little prior structure. Major applications such as surveillance, medicine, education, entertainment, and sports heavily use videos. Internet protocol video is dominating the Worldfs Internet traffic. A large number of videos are made and uploaded daily. Looking for topics of one's interest in these videos is a cumbersome task. Mostly, people are only interested in small portions of videos as opposed to the whole video. It is better to look for small but related segments of interest. Our proposed system Timeline Binder is an attempt to tackle this problem. For Timeline Binder, we have created our own dataset of online videos with subtitles. Based on those subtitles' files, a concept vector is obtained. If a concept vector has a match for a user's query tag, then timed segments for all related videos to that matched concept in the concept vector are combined into a single timeline thus making all related segments into a single video. This research presents performance measurements between Timeline Binder and other available applications such as Google2SRT and NR8. The results show that Timeline Binder performs better than Google2SRT and NR8.
Publication Details
Page(s) 16-25
DOI DOI not available
Published Journal: New Horizons: Journal of the Institution of Electrical & Electronics Engineers Pakistan, Volume: 103, Issue: 1, Year: 2023

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Keywords
Google2SRT, Timeline Binder, multimedia semantics, Captioning
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