SummarizeX : Intelligent Video Compression Using AI

Suraj R. Nalawade; Praveen R. Barapatre; H. O. Tapase; Suhani Pawar

doi:10.65521/ijacte.v15i1.2934

Authors

Suraj R. Nalawade Professor, Department of Artificial Intelligence and Data Science Engineering, YSPM’s Yashoda Technical Campus, Satara-415001, Affiliated to DBATU University Lonare, Maharashtra, India.)
Praveen R. Barapatre Professor, Department of Artificial Intelligence and Data Science Engineering, YSPM’s Yashoda Technical Campus, Satara-415001, Affiliated to DBATU University Lonare, Maharashtra, India.)
H. O. Tapase Professor, Department of Artificial Intelligence and Data Science Engineering, YSPM’s Yashoda Technical Campus, Satara-415001, Affiliated to DBATU University Lonare, Maharashtra, India.)
Suhani Pawar UG Scholar, Department of Artificial Intelligence and Data Science Engineering, YSPM’s Yashoda Technical Campus, Satara-415001, Affiliated to DBATU University Lonare, Maharashtra, India.)

DOI:

https://doi.org/10.65521/ijacte.v15i1.2934

Keywords:

Video Summarization Deep Learning CNN LSTM Transformers Attention Mechanism Keyframe Extraction Multimedia Data Processing

Abstract

With the rapidly increasing video data, the activity of summarizing videos is becoming very significant. Video summarizing enables the proper storage, retrieval, and utilization of multimedia data by converting long videos into short, meaning-carrying summaries. The domain has seen tremendous change with new developments in the field of deep learning, through which a high-quality automatic summary can be generated with only minimal manual intervention. The paper surveys the designs, challenges, and applications of state-of-the-art deep learning techniques. We examine further directions in this exciting field and provide experimental evaluations.

SummarizeX : Intelligent Video Compression Using AI

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