Abstract | ||
---|---|---|
Embedded memory is a critical component in today's mobile video processing systems, increasingly dominating power consumption and shortening battery life of mobile devices. Traditional hardware-level power optimization techniques usually come with significant implementation overhead to solve the memory failure problem during low-voltage operations. This paper presents a novel mobile video memory t... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TVLSI.2017.2787043 | IEEE Transactions on Very Large Scale Integration (VLSI) Systems |
Keywords | Field | DocType |
Mobile communication,Streaming media,Random access memory,Mobile handsets,Hardware,Memory management,Power demand | Video processing,Power optimization,Computer science,Exploit,Real-time computing,Mobile device,Memory management,Conventional memory,Luminance,Mobile telephony,Embedded system | Journal |
Volume | Issue | ISSN |
26 | 4 | 1063-8210 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dongliang Chen | 1 | 7 | 2.28 |
Jonathon Edstrom | 2 | 7 | 2.26 |
Yifu Gong | 3 | 2 | 1.73 |
Gao Peng | 4 | 184 | 32.23 |
Lei Yang | 5 | 194 | 37.52 |
Mark E McCourt | 6 | 14 | 4.02 |
Jinhui Wang | 7 | 87 | 20.44 |
Na Gong | 8 | 68 | 16.09 |