Data Analysis for Audio-Visual Stimuli and Learning Algorithms
A special issue of Data (ISSN 2306-5729).
Deadline for manuscript submissions: closed (5 January 2024) | Viewed by 1579
Special Issue Editors
Interests: visual stimuli
Interests: large-scale ontology management
Interests: light field image processing; machine learning; multimedia processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Most of the information that humans perceive through the sensory organs depends on information obtained from audio-visual stimuli.
For this reason, current artificial intelligence and machine learning algorithms mainly target visual and auditory data.
In addition, continual learning for sequential audio-visual stimuli, as well as supervised learning that requires the pre-construction of learning data, is under investigation as a method of overcoming the limitations of existing artificial intelligence and machine learning algorithms.
This Special Issue aims to provide a comprehensive appraisal of image data processing, audio data processing, video data analysis, and audio-visual data analysis based on data processing for audio-visual stimuli. Further, as a learning method, unsupervised learning and supervised learning are both targeted.
Topics or keywords:
- Image data processing;
- Audio data processing;
- Video data analysis;
- Audio-visual data analysis;
- Deep learning;
- Unsupervised learning;
- Continual learning;
- Memory networks;
- Machine learning;
- Artificial intelligence.
Prof. Dr. Changseok Bae
Dr. Dong-Oh Kang
Dr. Vera Yuk Ying Chung
Guest Editors
Manuscript Submission Information
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