Uncovering and Understanding Smart TV Users’ Picture Quality Preferences via Big Data Analytics
Author:
Affiliation:
1. Visual Solution Lab, DMS Samsung Research America, Inc,Irvine,CA,USA
Funder
Samsung
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385234/10386078/10386315.pdf?arnumber=10386315
Reference30 articles.
1. Image quality for TV genre depending on viewers experience;Park;Journal of Broadcast Engineering,2021
2. The Effect of Ambient Lighting on the Preferred Color Temperature of Television
3. The characteristic of image quality perception of elderly group: according to the comparison with adult group
4. Data-driven Approaches for Discovery and Prediction of User-preferred Picture Settings on Smart TVs
5. Extensions to the k-means algorithm for clustering large data sets with categorical values;Huang;Data Mining and Knowledge Discovery,1998
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