Detecting changes in signals and systems—a survey
Automatica (Journal of IFAC)
Automatic partitioning of full-motion video
Multimedia Systems
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
TextFinder: An Automatic System to Detect and Recognize Text In Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Computing Surveys (CSUR)
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Feature Extraction and a Database Strategy for Video Fingerprinting
VISUAL '02 Proceedings of the 5th International Conference on Recent Advances in Visual Information Systems
Story Segmentation and Detection of Commercials in Broadcast News Video
ADL '98 Proceedings of the Advances in Digital Libraries Conference
On the detection and recognition of television commercials
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Data integration in a bandwidth-rich world
Communications of the ACM - Blueprint for the future of high-performance networking
Approximate searches: k-neighbors + precision
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Predicting Program Guides for Video Structuring
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Finding and identifying unknown commercials using repeated video sequence detection
Computer Vision and Image Understanding
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
TV broadcast macro-segmentation: metadata-based vs. content-based approaches
Proceedings of the 6th ACM international conference on Image and video retrieval
Fast structuring of large television streams using program guides
AMR'06 Proceedings of the 4th international conference on Adaptive multimedia retrieval: user, context, and feedback
ARGOS: automatically extracting repeating objects from multimedia streams
IEEE Transactions on Multimedia
Real-time video-shot detection for scene surveillance applications
IEEE Transactions on Image Processing
Shot-boundary detection: unraveled and resolved?
IEEE Transactions on Circuits and Systems for Video Technology
Online Macro-segmentation of Television Streams
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
A new approach for TV program identification based on video grammar
Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
Proceedings of the international workshop on Very-large-scale multimedia corpus, mining and retrieval
TV program segmentation using multi-modal information fusion
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
An unsupervised approach for recurrent tv program structuring
Proceddings of the 9th international interactive conference on Interactive television
Simple low-dimensional features approximating NCC-based image matching
Pattern Recognition Letters
Pruned multi-level successive elimination algorithm for TV commercial recognition
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
Acoustic super models for large scale video event detection
J-MRE '11 Proceedings of the 2011 joint ACM workshop on Modeling and representing events
Efficient mining of repetitions in large-scale TV streams with product quantization hashing
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Narrative theme navigation for sitcoms supported by fan-generated scripts
Multimedia Tools and Applications
| Hi-index | 0.00 |
In this paper, a novel method for repeated sequence detection in an audio-visual TV broadcast is proposed. This method is required for TV broadcast macro-segmentation which is at the root of many novel services related to TV broadcast and in particular to the TV-on-Demand service. Repeated sequence detection allows inter-program detection (commercials, jingles, credits, ...), which allows the segmentation of the TV broadcast and the extraction of useful programs. Our method is completely non-supervised, that is, it does not require a manually created reference database. It relies on a micro-clustering technique that groups similar audio/visual feature vectors. Clusters are then analyzed and repeated sequences are detected. This method is able to continuously analyze the TV broadcast and to periodically return analysis results. The efficiency and effectiveness of the method have been shown on two real broadcasts of 12h and 7 days.