DocumentCode
3091713
Title
Multimedia Analysis with Deep Learning
Author
Qingbo Wu ; Hua Zhang ; Si Liu ; Xiaochun Cao
Author_Institution
State Key Lab. of Inf. Security, China
fYear
2015
fDate
20-22 April 2015
Firstpage
20
Lastpage
23
Abstract
Recently, deep learning method has been attracting more and more researchers due to its great success in various computer vision tasks. Particularly, some researchers focus on the study of multimedia analysis by deep learning method, and the research tasks mainly include the following six aspects: classification, retrieval, segmentation, tracking, detection and recommendation. As far as we know, there is not any literature conducting on survey of these studies, and it is of great significance for the community to review this subject. In this paper, we discuss the application of deep learning method in the six multimedia analysis tasks, and also point out the future directions of deep learning in multimedia analysis.
Keywords
computer vision; image classification; image retrieval; image segmentation; learning (artificial intelligence); multimedia systems; object detection; object tracking; computer vision; deep learning method; image classification; image detection; image recommendation; image retrieval; image segmentation; image tracking; multimedia analysis; Brain models; Feature extraction; Learning systems; Multimedia communication; Neural networks; Tracking; classification; deep learning; detection; multimedia analysis; recommendation; retrieval; segmentation; tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Big Data (BigMM), 2015 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-8687-3
Type
conf
DOI
10.1109/BigMM.2015.27
Filename
7153770
Link To Document