|
|
|
|
| LEADER |
01000naa a22002652 4500 |
| 001 |
NLM357781171 |
| 003 |
DE-627 |
| 005 |
20231226073331.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
231226s2023 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.1109/TIP.2023.3281170
|2 doi
|
| 028 |
5 |
2 |
|a pubmed24n1192.xml
|
| 035 |
|
|
|a (DE-627)NLM357781171
|
| 035 |
|
|
|a (NLM)37276105
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Saha, Avinab
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Study of Subjective and Objective Quality Assessment of Mobile Cloud Gaming Videos
|
| 264 |
|
1 |
|c 2023
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ƒaComputermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a ƒa Online-Ressource
|b cr
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 13.06.2023
|
| 500 |
|
|
|a Date Revised 13.06.2023
|
| 500 |
|
|
|a published: Print-Electronic
|
| 500 |
|
|
|a Citation Status PubMed-not-MEDLINE
|
| 520 |
|
|
|a We present the outcomes of a recent large-scale subjective study of Mobile Cloud Gaming Video Quality Assessment (MCG-VQA) on a diverse set of gaming videos. Rapid advancements in cloud services, faster video encoding technologies, and increased access to high-speed, low-latency wireless internet have all contributed to the exponential growth of the Mobile Cloud Gaming industry. Consequently, the development of methods to assess the quality of real-time video feeds to end-users of cloud gaming platforms has become increasingly important. However, due to the lack of a large-scale public Mobile Cloud Gaming Video dataset containing a diverse set of distorted videos with corresponding subjective scores, there has been limited work on the development of MCG-VQA models. Towards accelerating progress towards these goals, we created a new dataset, named the LIVE-Meta Mobile Cloud Gaming (LIVE-Meta-MCG) video quality database, composed of 600 landscape and portrait gaming videos, on which we collected 14,400 subjective quality ratings from an in-lab subjective study. Additionally, to demonstrate the usefulness of the new resource, we benchmarked multiple state-of-the-art VQA algorithms on the database. The new database will be made publicly available on our website: https://live.ece.utexas.edu/research/LIVE-Meta-Mobile-Cloud-Gaming/index.html
|
| 650 |
|
4 |
|a Journal Article
|
| 700 |
1 |
|
|a Chen, Yu-Chih
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Davis, Chase
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Qiu, Bo
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Wang, Xiaoming
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Gowda, Rahul
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Katsavounidis, Ioannis
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Bovik, Alan C
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 32(2023) vom: 05., Seite 3295-3310
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
|
| 773 |
1 |
8 |
|g volume:32
|g year:2023
|g day:05
|g pages:3295-3310
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1109/TIP.2023.3281170
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 32
|j 2023
|b 05
|h 3295-3310
|