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Unsupervised Video Summarization via Multi-source Features
Hussain Kanafani, Junaid Ahmed Ghauri, Sherzod Hakimov +1
Video summarization aims at generating a compact yet representative visual summary that conveys the essence of the original video. The advantage of unsupervised approaches is that…
Supervised Video Summarization via Multiple Feature Sets with Parallel Attention
Junaid Ahmed Ghauri, Sherzod Hakimov, Ralph Ewerth
The assignment of importance scores to particular frames or (short) segments in a video is crucial for summarization, but also a difficult task. Previous work utilizes only one sou…
Classification of Important Segments in Educational Videos using Multimodal Features
Junaid Ahmed Ghauri, Sherzod Hakimov, Ralph Ewerth
Videos are a commonly-used type of content in learning during Web search. Many e-learning platforms provide quality content, but sometimes educational videos are long and cover man…
Deep Learning Approaches to Classification of Production Technology for 19th Century Books
Chanjong Im, Junaid Ghauri, John Rothman +1
Cultural research is dedicated to understanding the processes of knowledge dissemination and the social and technological practices in the book industry. Research on children books…