Semantic Video Concept Detection using Novel Mixed-Hybrid-Fusion Approach for Multi-Label Data
The performance of the semantic concept detection method depends on, the selection of the low-level visual features used to represent key-frames of a shot and the selection of the feature-fusion method used. This paper proposes a set of low-level visual features of considerably smaller size and also...
Main Authors: | Nitin Jagannathrao Janwe, Kishor K. Bhoyar |
---|---|
Format: | Article |
Language: | English |
Published: |
Computer Vision Center Press
2017-10-01
|
Series: | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
Subjects: | |
Online Access: | https://elcvia.cvc.uab.es/article/view/927 |
Similar Items
-
Content-based search and browsing in semantic multimedia retrieval
by: Rautiainen, M. (Mika)
Published: (2006) -
Multiple Visual-Semantic Embedding for Video Retrieval from Query Sentence
by: Huy Manh Nguyen, et al.
Published: (2021-04-01) -
Video2Vec: Learning Semantic Spatio-Temporal Embedding for Video Representations
Published: (2016) -
The Study of Semantic and Ontological Features of Thesaurus and Ontology-based Information Retrieval Systems
by: Elmira Karimi, et al.
Published: (2019-09-01) -
Image Semantic Retrieval Challenges and Thesauri Modern Applications
by: Farahnaz sadoughi, et al.
Published: (2012-07-01)