Matches in SemOpenAlex for { <https://semopenalex.org/work/W2493726351> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2493726351 endingPage "1" @default.
- W2493726351 startingPage "1" @default.
- W2493726351 abstract "This paper proposes a flexible and efficient implementation of the 2D $N$ -point discrete cosine transform (DCT) for the High Efficiency Video Coding (HEVC) standard. The DCT is implemented through the Walsh–Hadamard transform (WHT) followed by Givens rotations. This scheme is exploited to derive an adaptive algorithm, which allows computing of four different approximations ranging from the complete DCT to the WHT, by selectively skipping some rotations. This paper shows the statistical analysis of the DCT usage and derives a precomputation mechanism to adaptively skip rotations. Each approximation, referred to as a operating mode, is characterized by a large saving of operations, at the expense of very small quality loss. Then, two 2D-DCT architectures are proposed: the first one is totally unfolded, while the second one is folded. The two designs are finally synthesized with a 90-nm standard-cell library for a clock frequency of 250 MHz. Both architectures support real-time processing of 8K UHD video sequences at 64 and 26 fps, respectively, and show higher throughput and lower gate count compared with the state-of-art implementations. Moreover, power saving ranging from 28% to 56% can be achieved by working within the proposed operating modes." @default.
- W2493726351 created "2016-08-23" @default.
- W2493726351 creator A5014762265 @default.
- W2493726351 creator A5026016005 @default.
- W2493726351 creator A5048930487 @default.
- W2493726351 date "2016-01-01" @default.
- W2493726351 modified "2023-09-27" @default.
- W2493726351 title "Adaptive Approximated DCT Architectures for HEVC" @default.
- W2493726351 cites W1968988164 @default.
- W2493726351 cites W1973886151 @default.
- W2493726351 cites W1981542807 @default.
- W2493726351 cites W1988312821 @default.
- W2493726351 cites W2009019979 @default.
- W2493726351 cites W2031614119 @default.
- W2493726351 cites W2033140753 @default.
- W2493726351 cites W2041808434 @default.
- W2493726351 cites W2043292349 @default.
- W2493726351 cites W2045775744 @default.
- W2493726351 cites W2053990634 @default.
- W2493726351 cites W2058578945 @default.
- W2493726351 cites W2065279383 @default.
- W2493726351 cites W2067925830 @default.
- W2493726351 cites W2082301295 @default.
- W2493726351 cites W2084086197 @default.
- W2493726351 cites W2089133289 @default.
- W2493726351 cites W2090572351 @default.
- W2493726351 cites W2099501024 @default.
- W2493726351 cites W2103244632 @default.
- W2493726351 cites W2105815873 @default.
- W2493726351 cites W2116925983 @default.
- W2493726351 cites W2146395539 @default.
- W2493726351 cites W2166283538 @default.
- W2493726351 cites W2540877969 @default.
- W2493726351 cites W3106066905 @default.
- W2493726351 cites W4251101141 @default.
- W2493726351 doi "https://doi.org/10.1109/tcsvt.2016.2595320" @default.
- W2493726351 hasPublicationYear "2016" @default.
- W2493726351 type Work @default.
- W2493726351 sameAs 2493726351 @default.
- W2493726351 citedByCount "20" @default.
- W2493726351 countsByYear W24937263512016 @default.
- W2493726351 countsByYear W24937263512017 @default.
- W2493726351 countsByYear W24937263512018 @default.
- W2493726351 countsByYear W24937263512019 @default.
- W2493726351 countsByYear W24937263512020 @default.
- W2493726351 countsByYear W24937263512021 @default.
- W2493726351 crossrefType "journal-article" @default.
- W2493726351 hasAuthorship W2493726351A5014762265 @default.
- W2493726351 hasAuthorship W2493726351A5026016005 @default.
- W2493726351 hasAuthorship W2493726351A5048930487 @default.
- W2493726351 hasBestOaLocation W24937263512 @default.
- W2493726351 hasConcept C11413529 @default.
- W2493726351 hasConcept C115961682 @default.
- W2493726351 hasConcept C154945302 @default.
- W2493726351 hasConcept C2221639 @default.
- W2493726351 hasConcept C41008148 @default.
- W2493726351 hasConcept C80444323 @default.
- W2493726351 hasConceptScore W2493726351C11413529 @default.
- W2493726351 hasConceptScore W2493726351C115961682 @default.
- W2493726351 hasConceptScore W2493726351C154945302 @default.
- W2493726351 hasConceptScore W2493726351C2221639 @default.
- W2493726351 hasConceptScore W2493726351C41008148 @default.
- W2493726351 hasConceptScore W2493726351C80444323 @default.
- W2493726351 hasLocation W24937263511 @default.
- W2493726351 hasLocation W24937263512 @default.
- W2493726351 hasOpenAccess W2493726351 @default.
- W2493726351 hasPrimaryLocation W24937263511 @default.
- W2493726351 hasRelatedWork W1482458189 @default.
- W2493726351 hasRelatedWork W1829467672 @default.
- W2493726351 hasRelatedWork W2101452016 @default.
- W2493726351 hasRelatedWork W2167423507 @default.
- W2493726351 hasRelatedWork W2248402346 @default.
- W2493726351 hasRelatedWork W2354947230 @default.
- W2493726351 hasRelatedWork W2382582043 @default.
- W2493726351 hasRelatedWork W2962824909 @default.
- W2493726351 hasRelatedWork W3107474891 @default.
- W2493726351 hasRelatedWork W3146375209 @default.
- W2493726351 isParatext "false" @default.
- W2493726351 isRetracted "false" @default.
- W2493726351 magId "2493726351" @default.
- W2493726351 workType "article" @default.