New Real-Time Approaches for Video-Genre-Classification using High-Level Descriptors and a Set of Classifiers
- In this paper we describe in detail the recent publications related to video-genre-classification and present our improved new approaches for classifying video sequences in real-time as 'cartoon', 'commercial', 'music', 'news' or 'sport' by analyzing the content with new high-level audio-visual descriptors and classification methods. Such applications have also been discussed in the context of MPEG-7. The results demonstrate identification rates of more than 90% based on a large representative collection of 100 videos gathered from free digital TV and Internet.
Author: | Prof. Dr. Ronald Glasberg, Sebastian Schmiedeke, Martin Mocigemba, Thomas Sikora |
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Document Type: | Conference Proceeding/Conference Report |
Language: | English |
Date of Publication (online): | 2016/07/19 |
Year of first Publication: | 2008 |
Publishing Institution: | SRH Berlin University of Applied Sciences |
Release Date: | 2016/07/19 |
Tag: | Computing; Video Gaming |
Note: | Volltext aus urheberrechtlichen Gründen nicht verfügbar. Fulltext due to copyright not available. |
Link author profile: | https://www.srh-berlin.de/hochschule/hochschulteam/glasberg-ronald/ |
Date: | 08/2008 |
Convention/Event: | IEEE 2nd International Conference on Semantic Computing |
Location: | Santa Clara, USA |
JEL-Classification: | Y Miscellaneous Categories |
Licence (German): | ![]() |