Introduction

Multimedia big data and deep learning have been currently considered as two major trends in data science. With the proliferation of social media, sharing websites, and mobile technologies, we are stepping a new era of multimedia big data. Moreover, tremendous advances in deep learning in recent years have led machine learning to its golden stage. Deep learning has been growing exponentially in different applications such as Natural Language Processing, speech processing, and computer vision. However, its applications to multi-modality data using big data solutions are still in the initial stage. Handling large, heterogeneous, high-dimensional, unbalanced, and unstructured multimedia data with limited labels is a great potential direction for the future of multimedia research. To take advantage of the inimitable capability of big data and deep learning in multimedia research, it is important to bring forward the recent techniques and research in this area. We invite active multimedia researchers to submit their latest, original, and high-quality research work addressing the challenges and providing novel solutions in multimedia big data and deep learning.

Call for paper

The main topics of this workshop include, but are not limited to:
Multimedia big data classificationMultimedia big data retrievalUnsupervised/semi-supervise/transfer learning for multimedia big dataAdvances in multimedia deep learningLow power and efficient deep learning for multimedia dataBig data solutions for deep learning and multimedia dataSpatio-temporal multimedia data analysisRecommendation systems using deep learningSocial network analysis using deep learningOptimization and distributed techniques for multimedia deep learningApplications of deep learning in multimedia

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Important Date
  • Conference Date

    Apr 10

    2018

    to

    Apr 12

    2018

  • Apr 12 2018

    Registration deadline