Multi-label semantic concept detection in videos using fusion of asymmetrically trained deep convolutional neural networks and foreground driven concept co-occurrence matrix-Reference-Cited by-同舟云学术

Multi-label semantic concept detection in videos using fusion of asymmetrically trained deep convolutional neural networks and foreground driven concept co-occurrence matrix

Published:2017-09-18 Issue:8 Volume:48 Page:2047-2066
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Janwe Nitin J.^ORCID,Bhoyar Kishor K.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

http://link.springer.com/article/10.1007/s10489-017-1033-x/fulltext.html

Reference47 articles.

1. Feng L, Bhanu B (2016) Semantic concept co-occurrence patterns for image annotation and retrieval. IEEE Trans Pattern Anal Mach Intell 38(2):785–799

2. Kuo CH, Chou YH, Chang PC (2016) Using deep convolutional neural networks for image retrieval. Soc Imag Sci Technol. https://doi.org/10.2352/ISSN.2470-1173.2016.2.VIPC-231

3. Podlesnaya A, Podlesnyy S (2016) Deep learning based semantic video indexing and retrieval. arXiv: 1601.07754 [cs.IR]

4. McCormac J, Handa A, Davison A, Leutenegger S (2016) SemanticFusion: dense 3D semantic mapping with convolutional neural networks. arXiv: 1609.05130v2 [cs.CV]

5. Kikuchi K, Ueki K, Ogawa T, Kobayashi T (2016) Video semantic indexing using object detection-derived features. In: Proc. 24th European signal processing conference (EUSIPCO). Budapest, pp 1288–1292

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