Video Semantic Concept Detection Based on Multi-modality Fusion
Abstract
Recommendations
Joint patch clustering-based adaptive dictionary and sparse representation for multi-modality image fusion
AbstractFor the image fusion method using sparse representation, the adaptive dictionary and fusion rule have a great influence on the multi-modality image fusion, and the maximum norm fusion rule may cause gray inconsistency in the fusion result. In ...
Concept-Driven Multi-Modality Fusion for Video Search
As it is true for human perception that we gather information from different sources in natural and multi-modality forms, learning from multi-modalities has become an effective scheme for various information retrieval problems. In this paper, we propose ...
Semantic concept detection for video based on extreme learning machine
Semantic concept detection is an important step in concept-based semantic video retrieval, which can be regarded as an intermediate descriptor to bridge the semantic gap. Most existing concept detection methods utilize Support Vector Machines (SVM) as ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
Publisher
IEEE Computer Society
United States
Publication History
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
View options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in