Mathematical Problems in Engineering

Advanced Pattern and Structure Discovery from Complex Multimedia Data Environments 2021


Publishing date
01 May 2022
Status
Closed
Submission deadline
17 Dec 2021

Lead Editor
Guest Editors

1Wuhan University, Wuhan, China

2University of North Carolina at Charlotte, Charlotte, USA

This issue is now closed for submissions.
More articles will be published in the near future.

Advanced Pattern and Structure Discovery from Complex Multimedia Data Environments 2021

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Multimedia information such as texts, sounds, images, videos, are ubiquitous in modern society. In computer science, an extremely large number of real-world tasks. For instance, image matching/registration/retrieval, object detection, dimensionality reduction, and subspace clustering are aimed at discovering patterns or structures in observed data, which is the key to understanding and processing such data.

In the last two decades, a variety of local and global patterns/structures (e.g., graphical and geometric priors, low rankness, sparsity, exclusivity, and mutuality) have been designed and widely applied. Though existing techniques have shown their efficacy, more advanced and sophisticated development is needed to handle more complex data and aid more real-world tasks. Furthermore, with the emergence of deep learning models, there is an expectation of exploiting more powerful tools for practical use.

This Special Issue aims to solicit contributions on the advanced pattern/structure discovery from complex multimedia data environments. Original research articles presenting novel in-depth fundamental research are welcome, along with review articles discussing the current state-of-the-art.

Potential topics include but are not limited to the following:

  • Classification, clustering, and collaborative filtering
  • Deep feature learning and feature selection
  • Dimensionality reduction and manifold learning
  • Low rank matrix/tensor recovery, linear/nonlinear regression, and sparse coding
  • Multi-task and transfer learning, online learning, and metric learning
  • Reinforcement learning and representation learning
  • Deconvolution/deblurring, denoising, and image restoration
  • Image/feature matching/registration and multimedia retrieval
  • Object detection and recognition, motion and tracking
  • Image fusion, image super-resolution, and image segmentation

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 4053916
  • - Research Article

Research on Audit Opinion Prediction of Listed Companies Based on Sparse Principal Component Analysis and Kernel Fuzzy Clustering Algorithm

Sen Zeng | Yanru Li | Yaqin Li
  • Special Issue
  • - Volume 2022
  • - Article ID 5905117
  • - Research Article

An Empirical Study on Digital Media Technology in Film and Television Animation Design

Renfeng Jiang | Li Wang | Sang-Bing Tsai
  • Special Issue
  • - Volume 2021
  • - Article ID 4209963
  • - Research Article

A Generative Adversarial Network with Dual Discriminators for Infrared and Visible Image Fusion Based on Saliency Detection

Dazhi Zhang | Jilei Hou | ... | Huabing Zhou
  • Special Issue
  • - Volume 2021
  • - Article ID 1485592
  • - Research Article

An Improved Louvain Algorithm for Community Detection

Jicun Zhang | Jiyou Fei | ... | Jiawei Feng
  • Special Issue
  • - Volume 2021
  • - Article ID 2472676
  • - Research Article

Multistrengthening Module-Based Salient Object Detection

Qian Zhao | Haifeng Wang | ... | Yang Yang
  • Special Issue
  • - Volume 2021
  • - Article ID 2920062
  • - Research Article

Self-Recurrent Learning and Gap Sample Feature Synthesis-Based Object Detection Method

Lvjiyuan Jiang | Haifeng Wang | ... | Yang Yang
  • Special Issue
  • - Volume 2021
  • - Article ID 7682579
  • - Research Article

A Behavior-Driven Forum Spammer Recognition Method with Its Application in Automobile Forums

Han Su | Minglun Ren | ... | Zhao Fang
Mathematical Problems in Engineering
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Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.