A Comparative Analysis of Video Shot Boundary Detection using Different Approaches

Video shot boundary detection is the crucial step in the field of video processing. This makes the task of content-based video retrieval, indexing and browsing of videos. In the last decade, many researchers contributed for the shot boundary detection for different types of videos. Their remarkable...

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Bibliographic Details
Published in:	2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART) pp. 1 - 7
Main Authors:	Chavate, Shrikant, Mishra, Ravi, Yadav, Pranay
Format:	Conference Proceeding
Language:	English
Published:	IEEE 10-12-2021
Subjects:	Complexity theory Dual Tree Complex Wavelet Transform Feature extraction High Level Fuzzy PetriNet Indexing Measurement Scale Invariant Fourier Transform Shot Boundary Detection Speeded-Up-Robust Features Task analysis Walsh-Hadamard Transform Wavelet transforms
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Summary:	Video shot boundary detection is the crucial step in the field of video processing. This makes the task of content-based video retrieval, indexing and browsing of videos. In the last decade, many researchers contributed for the shot boundary detection for different types of videos. Their remarkable efforts and outcomes have been studied and its comparison is showcased in this paper. This paper contains the survey of different methodologies implemented to achieve the task of Shot Boundary Detection along with key performance measurement parameters. This includes different preprocessing techniques, feature extraction methodologies, similarity computation techniques, etc. The outcomes of different approaches are framed with reference to accuracy, speed of computation and along with comparison of precision, recall and F1 score.
ISBN:	9781665439688 1665439688
ISSN:	2767-7362
DOI:	10.1109/SMART52563.2021.9676246