Subjective and objective quality assessment of Mobile Videos with In-Capture distortions

We designed and created a new video database that models a variety of complex distortions generated during the video capturing process on hand-held mobile capturing devices. We describe the content and characteristics of the new database, which we call the LIVE Mobile In-Capture Video Quality Databa...

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Bibliographic Details
Main Authors: Ghadiyaram, Deepti, Pan, Janice, Bovik, Alan C., Moorthy, Anush, Panda, Prasanjit, Kai-Chieh Yang
Format: Conference Proceeding
Language:English
Subjects:
Cameras
Distortion
in-capture video distortions
Mobile communication
mobile videos
perceptual video quality
Quality assessment
subjective quality assessment
Videos
Online Access:Request full text
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Summary:We designed and created a new video database that models a variety of complex distortions generated during the video capturing process on hand-held mobile capturing devices. We describe the content and characteristics of the new database, which we call the LIVE Mobile In-Capture Video Quality Database. It comprises a total of 208 videos that were captured using eight different smart-phones and were affected by six common in-capture distortions. We also conducted a subjective video quality assessment study using this data, wherein each video was assessed by 36 unique subjects. We evaluated several top-performing No-Reference IQA and VQA algorithms on the new database and find insights on how real-world in-capture distortions challenge both human subjects as well as automatic perceptual quality prediction models.
ISSN:2379-190X
DOI:10.1109/ICASSP.2017.7952385