Content-dependency reduction with multi-task learning in blind stitched panoramic image quality assessment

Content-dependency reduction with multi-task learning in blind stitched panoramic image quality assessment

In this work, we investigate deep learning based solutions to blind quality assessment of stitched panoramic images (SPI). The main problem to tackle is that the ground truth data is usually insufficient. As a result, the learned model can easily overfit data with specific content. Because most dist...

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Bibliographic Details
Main Authors: Hou, Jingwen, Lin, Weisi, Zhao, Baoquan
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
Language:English
Published: 2020
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Blind Image Quality Assessment
Stitched Panoramic Image
Online Access:https://hdl.handle.net/10356/144376

Internet

https://hdl.handle.net/10356/144376

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