An intuitive and efficient access interface to real-time incoming video based on automatic indexing
Proceedings of the third ACM international conference on Multimedia
The Filmmaker's Handbook: A Comprehensive Guide for the Digital Age
The Filmmaker's Handbook: A Comprehensive Guide for the Digital Age
Constructing table-of-content for videos
Multimedia Systems - Special section on video libraries
Multi-Level Video Representation with Application to Keyframe Extraction
MMM '04 Proceedings of the 10th International Multimedia Modelling Conference
Joint Key-Frame Extraction and Object-Based Video Segmentation
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
An Approach to Video Key-frame Extraction Based on Rough Set
MUE '07 Proceedings of the 2007 International Conference on Multimedia and Ubiquitous Engineering
Automated high-level movie segmentation for advanced video-retrieval systems
IEEE Transactions on Circuits and Systems for Video Technology
Optimization-based automated home video editing system
IEEE Transactions on Circuits and Systems for Video Technology
A new key frame representation for video segment retrieval
IEEE Transactions on Circuits and Systems for Video Technology
A Formal Study of Shot Boundary Detection
IEEE Transactions on Circuits and Systems for Video Technology
Role-based identity recognition for telecasts
Proceedings of the 3rd international workshop on Automated information extraction in media production
Role-based identity recognition for TV broadcasts
Multimedia Tools and Applications
CONTENTUS--technologies for next generation multimedia libraries
Multimedia Tools and Applications
Hi-index | 0.00 |
As books have chapters, sections, paragraphs, sentences, etc., videos have an inherent hierarchical structure as well. Chapters, scenes, shots and sub-shots are the temporal units in videos. Because manual structure extraction is time-consuming, automatic segmentation has been a research effort in the past 10 to 15 years and is a prerequisite for efficient video indexing, annotation, search and retrieval. This paper focuses on our recent research in the fields of scene, shot and sub-shot extraction and their combination into a video structure detection system. The first step is the detection of shot transitions with separate detectors for hard cuts, fades, dissolves and wipes. Then complex shots are further segmented into semantically meaningful units called sub-shots. Finally the results are employed to extract scenes. We propose to use film-grammar based on shot transition types to improve the results of scene detection. The algorithms proposed are robust to distortions and artefacts found in digitized archived video.