NetViewer: a network traffic visualization and analysis tool
LISA '05 Proceedings of the 19th conference on Large Installation System Administration Conference - Volume 19
A robust shot transition detection method based on support vector machine in compressed domain
Pattern Recognition Letters
Simultaneous detection of abrupt cuts and dissolves in videos using support vector machines
Pattern Recognition Letters
Vlogging: A survey of videoblogging technology on the web
ACM Computing Surveys (CSUR)
A fuzzy logic method of feature representation for shot boundary detection
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Real time illumination invariant motion change detection
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams
Real time motion changes for new event detection and recognition
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Temporal video segmentation on H.264/AVC compressed bitstreams
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
An effective and fast scene change detection algorithm for MPEG compressed videos
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Automatic shot-change detection algorithm based on visual rhythm extraction
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
A scene change detection in H.264/AVC compression domain
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II
Shot transition detection by compensating for global and local motions
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Automatic dissolve detection scheme based on visual rhythm spectrum
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
| Hi-index | 0.00 |
The increased availability and usage of multimedia information have created a critical need for efficient multimedia processing algorithms. These algorithms must offer capabilities related to browsing, indexing, and retrieval of relevant data. A crucial step in multimedia processing is that of reliable video segmentation into visually coherent video shots through scene change detection. Video segmentation enables subsequent processing operations on video shots, such as video indexing, semantic representation, or tracking of selected video information. Since video sequences generally contain both abrupt and gradual scene changes, video segmentation algorithms must be able to detect a large variety of changes. While existing algorithms perform relatively well for detecting abrupt transitions (video cuts), reliable detection of gradual changes is much more difficult. A novel one-pass, real-time approach to video scene change detection based on statistical sequential analysis and operating on a compressed multimedia bitstream is proposed. Our approach models video sequences as stochastic processes, with scene changes being reflected by changes in the characteristics (parameters) of the process. Statistical sequential analysis is used to provide an unified framework for the detection of both abrupt and gradual scene changes.