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.
Metadaten
Author:Prof. Dr. Ronald Glasberg, Sebastian Schmiedeke, Martin Mocigemba, Thomas Sikora
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):License LogoCreative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung
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