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ViViD: View Prediction of Online Video Through Deep Neural Network-Based Analysis of Subjective Video Attributes

  • Published:2023-03 Issue:1 Volume:69 Page:191-200
  • ISSN:0018-9316
  • Container-title:IEEE Transactions on Broadcasting
  • language:
  • Short-container-title:IEEE Trans. on Broadcast.

Author:

Sarkar Saikat1ORCID,Basu Spandan2ORCID,Paul Angshuman3ORCID,Prasad Mukherjee Dipti2ORCID

Affiliation:

1. Bangabasi College, University of Calcutta, Kolkata, India

2. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India

3. Department of Computer Science and Engineering, Indian Institute of Technology Jodhpur, Jodhpur, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Reference31 articles.

1. Online Prediction of Video Popularity in OVSs: A Video Age-Sensitive Model With Beyond Views Features

2. Predicting Popularity of Online Videos Using Support Vector Regression

3. Micro-video popularity prediction via multimodal variational information bottleneck;xie;IEEE Trans Multimedia,2021

4. Micro Tells Macro

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