Shot-boundary detection: unraveled and resolved?

By Alan Hanjalic. IEEE Trans. Circuits Syst. Video Technol., 2002

552 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Information theory-based shot cut/fade detection and video summarization (2006, background): “While the use of more complex features, such as image edges or histograms or motion vectors [8] improves the situation, it will only relieve but do not solve this problem [9].”
Video shot detection and condensed representation. a review (2006, methodology): “, average color or orientation, color histogram) from these blocks [7], [8].”
A Formal Study of Shot Boundary Detection (2007, methodology): “The related surveys with discussions on thresholding scheme can be found in [8], [9].”
A Survey on Visual Content-Based Video Indexing and Retrieval (2011, background): “Detection performance is often improved when an adaptive threshold is used instead of a global threshold [65].”
Video shot boundary detection: Seven years of TRECVid activity (2010, background): “Extensive reviews of the techniques which can and have been used for SBD are beyond the scope of this paper and we refer the reader to [1,2,3,4,5,6] for further information on these.”
An ICA Mixture Hidden Markov Model for Video Content Analysis (2008, methodology): “The presented new ICAMHMM is generic and can be applied to sequential data analysis in other applications.”
Video Shot Boundary Detection Based on Color Histogram (2003, background): “Another characteristic feature that proved to be useful in detection shot boundaries is edge changes [3].”