Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Fast multiresolution image querying
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
A technical introduction to digital video
A technical introduction to digital video
Latent semantic indexing: a probabilistic analysis
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Classification of summarized videos using hidden markov models on compressed chromaticity signatures
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Random projection in dimensionality reduction: applications to image and text data
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Techniques and Systems for Image and Video Retrieval
IEEE Transactions on Knowledge and Data Engineering
News video classification using SVM-based multimodal classifiers and combination strategies
Proceedings of the tenth ACM international conference on Multimedia
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Experiments with Random Projection
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
Example-Based Robust Outlier Detection in High Dimensional Datasets
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Sports video classification using HMMS
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Exploratory Data Analysis with MATLAB (Computer Science and Data Analysis)
Exploratory Data Analysis with MATLAB (Computer Science and Data Analysis)
Cluster Analysis
| Hi-index | 0.00 |
Viewers of video now have more choices than ever. As the number of choices increases, the task of searching through these choices to locate video of interest is becoming more difficult. Current methods for learning a viewer's preferences in order to automate the search process rely either on video having content descriptions or on having been rated by other viewers identified as being similar. However, much video exists that does not meet these requirements. To address this need, we use hidden Markov models to learn the preferences of a viewer by combining visual features and closed captions. Results are provided from some initial experiments using this approach.