Advances in Multimedia

Multimedia Quality Modeling


Publishing date
01 Jan 2022
Status
Closed
Submission deadline
03 Sep 2021

Lead Editor

1Jiangxi University of Technology, Jiangxi, China

2Southeast University, Nanjing, China

3Qingdao University, Qingdao, China

4University of Quebec, Quebec, Canada

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

Multimedia Quality Modeling

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

Description

The volume of multimedia data we handle on a daily basis is growing exponentially due to the availability of ubiquitous and cheap sensors, sharing platforms, and new social trends. Artificial intelligence techniques have proven useful for interpreting this data. In the last few decades, many quality models have been proposed that mimic the process of humans perceiving multimedia data. Such perceptual quality models can provide benefits for a rich variety of multimedia applications. For example, an effective photo aesthetics prediction module can help photographers crop an aesthetically pleasing sub-region from an original poorly framed photo. In addition, a successful photo management system can rank videos based on human perception of video quality (i.e., frame aesthetics, stability, and coherence), thereby the users can conveniently select their favorite pictures into albums. Lastly, different criteria have been developed to select visual or acoustic features for various multimedia applications, e.g., multimodal event detection, real-time speech recognition, and cross-media retrieval.

Extensive research efforts have been dedicated to designing perceptual quality models, but effective tools to manipulate quality prediction are still in their infancy. As far as we know, the key technical challenges include: the deemphasized role of semantic content that may be more important than low-level features in determining media quality; the difficulty to optimally utilize cross-feature information for media quality analysis; and the instability of the biologically/psychologically-inspired features in reflecting human perception, and the lack of a benchmark platform to evaluate the performance of these features.

This Special Issue will focus on the most recent technical progress on computational models for image, video, and audio quality prediction, such as photo/video aesthetic quality ranking and photo cropping/retargeting. We also aim to discover new types of visual/acoustic cues in computational quality models. The primary objective of this Special Issue is to promote the latest research progress in this interesting area. We solicit original research and review articles that address the challenges facing computational models for visual/acoustic quality prediction. This Special Issue targets researchers and practitioners from both industry and academia.

Potential topics include but are not limited to the following:

  • New computational models for media quality evaluation, such as videos and music
  • Aesthetic models for various media enhancement techniques
  • Video and image summarization based on computational quality models
  • Different semantic models for multimedia quality prediction
  • Discovering low-/high-level visual features for multimedia quality prediction
  • Visual aesthetics prediction for multimodal applications
  • New feature fusion/selection techniques for multimedia analysis
  • Multimodal quality models for event and abnormal detection
  • Visual quality prediction for photo and video management systems
  • Human interactive learning for multimedia quality prediction
  • Video/audio quality prediction by mimicking human perception
  • Computational quality models for large-scale multimedia retrieval
  • Datasets, benchmarks, and validation of visual quality of experience
  • Discovering advanced descriptors for evaluating multimedia quality

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 2981531
  • - Review Article

Multimedia Recognition of Piano Music Based on the Hidden Markov Model

Ying Zhu
  • Special Issue
  • - Volume 2021
  • - Article ID 1220512
  • - Research Article

Design and Analysis of Interactive Multimedia Online Physical Education Platform considering Moving Object Segmentation Algorithm

Yanle Hu | Jing Zhou | Bin Gao
  • Special Issue
  • - Volume 2021
  • - Article ID 7384170
  • - Research Article

Multimedia Image Encryption Analysis Based on High-Dimensional Chaos Algorithm

Xing Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 9672749
  • - Research Article

Multimedia Detection and Processing of Remote-Sensing Image of Small Target Combined with Variable Neighborhood Search Algorithm

Yaqin Wang | Maolong Qiu
  • Special Issue
  • - Volume 2021
  • - Article ID 2630254
  • - Research Article

Analysis of User Personalized Retrieval of Multimedia Digital Archives Dependent on BP Neural Network Algorithm

Zhongke Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 4266363
  • - Research Article

Development Model of China’s Regional Economic Cooperation Based on Network Analysis and Multimedia Data Visualization

Feng Du
  • Special Issue
  • - Volume 2021
  • - Article ID 8792105
  • - Research Article

Computer Multimedia Security Protection System Based on the Network Security Active Defense Model

Yanhong Shang | Jing Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 3693503
  • - Research Article

Fast and Accurate Position Determination of Multimodal Couplings of Steel Rolling Machinery and Equipment Combined with Multimedia Optimized Particle Filters

Jian Tan
  • Special Issue
  • - Volume 2021
  • - Article ID 2225114
  • - Research Article

Research on High Robust Multimedia Image Encryption Based on Gyrator Transform Domain Model

Xiaojing Cheng
  • Special Issue
  • - Volume 2021
  • - Article ID 3554715
  • - Research Article

Analysis of Sports Event Management Teaching from the Perspective of Multimedia considering Multiobjective Teaching Optimization Algorithm

Rongrong Wang
Advances in Multimedia
 Journal metrics
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Acceptance rate55%
Submission to final decision53 days
Acceptance to publication28 days
CiteScore2.200
Journal Citation Indicator0.260
Impact Factor-
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Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.