Discovering Video Structure Using the Pseudo-Semantic Trace
| Title: | Discovering Video Structure Using the Pseudo-Semantic Trace |
|---|---|
| Authors: | Cuneyt M. Taskiran; Charles A. Bouman; Edward J. Delp |
| Contributors: | The Pennsylvania State University CiteSeerX Archives |
| Source: | http://www.ctaskiran.com/papers/2001_ei.pdf. |
| Publication Year: | 2001 |
| Collection: | CiteSeerX |
| Subject Terms: | video database; hidden markov model; pseudo-semantic feature |
| Description: | In this paper we describe a framework of analyzing programs belonging to different TV program genres using Hidden Markov Models and pseudo-semantic features derived from video shots. Clustering using Gaussian mixture models is used to determine the order of the models. Results for initial genre classification experiments using two simple features derived from video shots are given. |
| Document Type: | text |
| File Description: | application/pdf |
| Language: | English |
| Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.319.5000; http://www.ctaskiran.com/papers/2001_ei.pdf |
| Availability: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.319.5000; http://www.ctaskiran.com/papers/2001_ei.pdf |
| Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| Accession Number: | edsbas.976D454B |
| Database: | BASE |