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Techniques for Detecting Video Shot Boundaries: A Review

Sharma. S*, Malakar. P**

*-** Department of Information Technology & Computer Science, Dr. CV Raman University, Chhattisgarh, Kota, Bilaspur, India.

Periodicity:September - November'2022
DOI : https://doi.org/10.26634/jcom.10.3.19111

Abstract

Due to the Corona Virus Diseases (COVID-19) pandemic, education is completely dependent on digital platforms, so recent advances in technology have made a tremendous amount of video content available. Due to the huge amount of video content, content-based information retrieval has become more and more important. Video content retrieval, just like information retrieval, requires some pre-processing such as indexing, key frame selection, and, most importantly, accurate detection of video shots. This gives the way for video information to be stored in a manner that will allow easy access. Video processing plays a vital role in many large applications. The applications required to perform the various manipulations on video streams (as on frames or say shots). The high definition of video can take a lot of memory to store, so compression techniques are huge in demand. Also, object tracking or object identification is an area where much considerable research has taken place and it is in progress.

Keywords

Video Segmentation, Cut Detection, Gradual Transition, Frame, Threshold.

How to Cite this Article?

Sharma, S., and Malakar, P. (2022). Techniques for Detecting Video Shot Boundaries: A Review. i-manager’s Journal on Computer Science, 10(3), 21-26. https://doi.org/10.26634/jcom.10.3.19111

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