Multimedia Analysis with Deep Learning

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: c...

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Bibliographic Details
Published in2015 IEEE International Conference on Multimedia Big Data pp. 20 - 23
Main Authors Qingbo Wu, Hua Zhang, Si Liu, Xiaochun Cao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2015
Subjects
Brain models
classification
deep learning
detection
Feature extraction
Learning systems
multimedia analysis
Multimedia communication
Neural networks
recommendation
retrieval
segmentation
Tracking
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Summary: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.
DOI:10.1109/BigMM.2015.27