Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification

Samira Pouyanfar, Yudong Tao, Anup Mohan, Haiman Tian, Ahmed S. Kaseb, Kent Gauen, Ryan Dailey, Sarah Aghajanzadeh, Yung Hsiang Lu, Shu Ching Chen, Mei-Ling Shyu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

Many multimedia systems stream real-time visual data continuously for a wide variety of applications. These systems can produce vast amounts of data, but few studies take advantage of the versatile and real-time data. This paper presents a novel model based on the Convolutional Neural Networks (CNNs) to handle such imbalanced and heterogeneous data and successfully identifies the semantic concepts in these multimedia systems. The proposed model can discover the semantic concepts from the data with a skewed distribution using a dynamic sampling technique. The paper also presents a system that can retrieve real-time visual data from heterogeneous cameras, and the run-time environment allows the analysis programs to process the data from thousands of cameras simultaneously. The evaluation results in comparison with several state-of-the-art methods demonstrate the ability and effectiveness of the proposed model on visual data captured by public network cameras.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 1st Conference on Multimedia Information Processing and Retrieval, MIPR 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages112-117
Number of pages6
ISBN (Electronic)9781538618578
DOIs
StatePublished - Jun 26 2018
Event1st IEEE Conference on Multimedia Information Processing and Retrieval, MIPR 2018 - Miami, United States
Duration: Apr 10 2018Apr 12 2018

Other

Other1st IEEE Conference on Multimedia Information Processing and Retrieval, MIPR 2018
CountryUnited States
CityMiami
Period4/10/184/12/18

Keywords

  • Convolutional Neural Networks
  • Deep Learning
  • Dynamic Sampling
  • Imbalanced Data
  • Network Cameras

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Media Technology

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    Pouyanfar, S., Tao, Y., Mohan, A., Tian, H., Kaseb, A. S., Gauen, K., Dailey, R., Aghajanzadeh, S., Lu, Y. H., Chen, S. C., & Shyu, M-L. (2018). Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification. In Proceedings - IEEE 1st Conference on Multimedia Information Processing and Retrieval, MIPR 2018 (pp. 112-117). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MIPR.2018.00027