Fast multiresolution image querying
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Co-clustering documents and words using bipartite spectral graph partitioning
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
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
Object Detection Using the Statistics of Parts
International Journal of Computer Vision
Words and pictures in the news
HLT-NAACL-LWM '04 Proceedings of the HLT-NAACL 2003 workshop on Learning word meaning from non-linguistic data - Volume 6
User evaluation of Físchlár-News: An automatic broadcast news delivery system
ACM Transactions on Information Systems (TOIS)
Finding and identifying unknown commercials using repeated video sequence detection
Computer Vision and Image Understanding
Fast tracking of near-duplicate keyframes in broadcast domain with transitivity propagation
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Toward a Common Event Model for Multimedia Applications
IEEE MultiMedia
Near-duplicate keyframe retrieval with visual keywords and semantic context
Proceedings of the 6th ACM international conference on Image and video retrieval
Proceedings of the 6th ACM international conference on Image and video retrieval
Logotype detection to support semantic-based video annotation
Image Communication
Searching for repeated video sequences
Proceedings of the international workshop on Workshop on multimedia information retrieval
Measuring novelty and redundancy with multiple modalities in cross-lingual broadcast news
Computer Vision and Image Understanding
Storyline-based summarization for news topic retrospection
Decision Support Systems
Real-time new event detection for video streams
Proceedings of the 17th ACM conference on Information and knowledge management
Large-scale news topic tracking and key-scene ranking with video near-duplicate constraints
LS-MMRM '09 Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining
Event driven summarization for web videos
WSM '09 Proceedings of the first SIGMM workshop on Social media
News Topic Tracking and Re-ranking with Query Expansion Based on Near-Duplicate Detection
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Adaptive division of feature space for rapid detection of near-duplicate video segments
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Detecting and clustering multiple takes of one scene
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Evaluating detection of near duplicate video segments
Proceedings of the ACM International Conference on Image and Video Retrieval
Computational intelligence in multimedia processing
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Beyond search: Event-driven summarization for web videos
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Cross media hyperlinking for search topic browsing
MM '11 Proceedings of the 19th ACM international conference on Multimedia
trackThem: exploring a large-scale news video archive by tracking human relations
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
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News videos constitute an important source of information for tracking and documenting important events. In these videos, news stories are often accompanied by short video shots that tend to be repeated during the course of the event. Automatic detection of such repetitions is essential for creating auto-documentaries, for alleviating the limitation of traditional textual topic detection methods. In this paper, we propose novel methods for detecting and tracking the evolution of news over time. The proposed method exploits both visual cues and textual information to summarize evolving news stories. Experiments are carried on the TREC-VID data set consisting of 120 hours of news videos from two different channels.