The Strength of Weak Learnability
Machine Learning
Original Contribution: Stacked generalization
Neural Networks
The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
The LIMSI Broadcast News transcription system
Speech Communication - Special issue on automatic transcription of broadcast news data
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Understanding and Using Context
Personal and Ubiquitous Computing
IEEE MultiMedia
Video OCR: indexing digital new libraries by recognition of superimposed captions
Multimedia Systems - Special section on video libraries
Decoding Image Semantics Using Composite Region Templates
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
Object Detection Using the Statistics of Parts
International Journal of Computer Vision
What we talk about when we talk about context
Personal and Ubiquitous Computing
Saying What it Means: Semi-Automated (News) Media Annotation
Multimedia Tools and Applications
Structure analysis of soccer video with domain knowledge and hidden Markov models
Pattern Recognition Letters - Video computing
Multimodal Video Indexing: A Review of the State-of-the-art
Multimedia Tools and Applications
Extraction of Film Takes for Cinematic Analysis
Multimedia Tools and Applications
Documenting life: videography and common sense
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Toward automatic extraction of expressive elements from motion pictures: tempo
IEEE Transactions on Multimedia
Computable scenes and structures in films
IEEE Transactions on Multimedia
Systematic evaluation of logical story unit segmentation
IEEE Transactions on Multimedia
Multimedia event-based video indexing using time intervals
IEEE Transactions on Multimedia
Automated high-level movie segmentation for advanced video-retrieval systems
IEEE Transactions on Circuits and Systems for Video Technology
Factor graph framework for semantic video indexing
IEEE Transactions on Circuits and Systems for Video Technology
The Semantic Pathfinder: Using an Authoring Metaphor for Generic Multimedia Indexing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of active learning strategies for video indexing
Image Communication
Image and video indexing using networks of operators
Journal on Image and Video Processing
Image and video indexing using networks of operators
Journal on Image and Video Processing
Semantic representation of multimedia content: Knowledge representation and semantic indexing
Multimedia Tools and Applications
Foundations and Trends in Information Retrieval
A Multi-Pronged Approach to Improving Semantic Extraction of News Video
Journal of Signal Processing Systems
Video corpus annotation using active learning
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Multimedia news exploration and retrieval by integrating keywords, relations and visual features
Multimedia Tools and Applications
Incremental multiple classifier active learning for concept indexing in images and videos
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Why did the prime minister resign?: generation of event explanations from large news repositories
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Active learning with multiple classifiers for multimedia indexing
Multimedia Tools and Applications
Hybrid pooling fusion in the bow pipeline
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
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We propose a generic and robust framework for news video indexing which we founded on a broadcast news production model. We identify within this model four production phases, each providing useful metadata for annotation. In contrast to semiautomatic indexing approaches which exploit this information at production time, we adhere to an automatic data-driven approach. To that end, we analyze a digital news video using a separate set of multimodal detectors for each production phase. By combining the resulting production-derived features into a statistical classifier ensemble, the framework facilitates robust classification of several rich semantic concepts in news video; rich meaning that concepts share many similarities in their production process. Experiments on an archive of 120 hours of news video from the 2003 TRECVID benchmark show that a combined analysis of production phases yields the best results. In addition, we demonstrate that the accuracy of the proposed style analysis framework for classification of several rich semantic concepts is state-of-the-art.