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Factorial Hidden Markov Models
Machine Learning - Special issue on learning with probabilistic representations
Audio Feature Extraction and Analysis for Scene Segmentation and Classification
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Active learning using adaptive resampling
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IEEE Intelligent Systems
Improving Short-Text Classification using Unlabeled Data for Classification Problems
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
A Factor Graph Framework for Semantic Indexing and Retrieval in Video
CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
A Hidden Markov Model Approach to the Structure of Documentaries
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Coupled hidden Markov models for complex action recognition
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Video Scene Segmentation via Continuous Video Coherence
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Hidden Markov Model Parsing of Video Programs
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
Prediction-driven computational auditory scene analysis
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Finding presentations in recorded meetings using audio and video features
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Unsupervised clustering of ambulatory audio and video
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Factor graphs and the sum-product algorithm
IEEE Transactions on Information Theory
Factor graph framework for semantic video indexing
IEEE Transactions on Circuits and Systems for Video Technology
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IEEE Transactions on Pattern Analysis and Machine Intelligence
The challenge problem for automated detection of 101 semantic concepts in multimedia
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
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Journal on Image and Video Processing
MAMECTIS'08 Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems
Foundations and Trends in Information Retrieval
Unsupervised Clustering of Clickthrough Data for Automatic Annotation of Multimedia Content
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Classifier fusion for SVM-based multimedia semantic indexing
ECIR'07 Proceedings of the 29th European conference on IR research
Large-scale text to image retrieval using a Bayesian K-neighborhood model
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Using topic concepts for semantic video shots classification
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| Hi-index | 0.00 |
Media analysis for video indexing is witnessing an increasing influence of statistical techniques. Examples of these techniques include the use of generative models as well as discriminant techniques for video structuring, classification, summarization, indexing, and retrieval. There is increasing emphasis on reducing the amount of supervision and user interaction needed to construct and utilize the semantic models. This paper highlights the statistical learning techniques in semantic multimedia indexing and retrieval. In particular the gamut of techniques from supervised to unsupervised systems will be demonstrated.