Title
Scene Detection In Hollywood Movies And Tv Shows
Abstract
A scene can be defined as one of the subdivisions of a play in which the setting is fixed, or when it presents continuous action in one place. We propose a novel two-pass algorithm for scene boundary detection which utilizes the motion content, shot length and color properties of shots as the features. In our approach, shots are first clustered by computing Backward Shot Coherence (BSC); a shot color similarity measure that detects Potential Scene Boundaries (PSBs). In the second pass we compute Scene Dynamics (SD), a function of shot length and the motion content in the potential scenes. In this pass, a scene merging criteria has been developed to remove weak PSBs in order to reduce over segmentation. We also propose a method to describe the content of each scene by selecting one representative image. The segmentation of video data into scenes facilitates an improved browsing of videos in electronic form, such as video on demand, digital libraries, Internet. The proposed algorithm has been tested on a variety of videos that include Hollywood movies and one TV sitcom and promising results have been obtained.
Publication Date
1-1-2003
Publication Title
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume
2
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0041438822 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0041438822
STARS Citation
Rasheed, Zeeshan and Shah, Mubarak, "Scene Detection In Hollywood Movies And Tv Shows" (2003). Scopus Export 2000s. 2150.
https://stars.library.ucf.edu/scopus2000/2150