IEEE Trans Image Process - Highly parallel line-based image coding for many cores.

Tópicos

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{ algorithm(1844) comput(1787) effici(935) }
{ data(1737) use(1416) pattern(1282) }
{ state(1844) use(1261) util(961) }
{ imag(1057) registr(996) error(939) }
{ take(945) account(800) differ(722) }
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{ imag(2675) segment(2577) method(1081) }
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{ network(2748) neural(1063) input(814) }
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{ model(2656) set(1616) predict(1553) }
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{ studi(2440) review(1878) systemat(933) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ framework(1458) process(801) describ(734) }
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{ error(1145) method(1030) estim(1020) }
{ learn(2355) train(1041) set(1003) }
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{ studi(1410) differ(1259) use(1210) }
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{ import(1318) role(1303) understand(862) }
{ visual(1396) interact(850) tool(830) }
{ compound(1573) activ(1297) structur(1058) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
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{ ehr(2073) health(1662) electron(1139) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ cost(1906) reduc(1198) effect(832) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
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{ can(981) present(881) function(850) }
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{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ cancer(2502) breast(956) screen(824) }
{ drug(1928) target(777) effect(648) }
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{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ method(1969) cluster(1462) data(1082) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

Computers are developing along with a new trend from the dual-core and quad-core processors to ones with tens or even hundreds of cores. Multimedia, as one of the most important applications in computers, has an urgent need to design parallel coding algorithms for compression. Taking intraframe/image coding as a start point, this paper proposes a pure line-by-line coding scheme (LBLC) to meet the need. In LBLC, an input image is processed line by line sequentially, and each line is divided into small fixed-length segments. The compression of all segments from prediction to entropy coding is completely independent and concurrent at many cores. Results on a general-purpose computer show that our scheme can get a 13.9 times speedup with 15 cores at the encoder and a 10.3 times speedup at the decoder. Ideally, such near-linear speeding relation with the number of cores can be kept for more than 100 cores. In addition to the high parallelism, the proposed scheme can perform comparatively or even better than the H.264 high profile above middle bit rates. At near-lossless coding, it outperforms H.264 more than 10 dB. At lossless coding, up to 14% bit-rate reduction is observed compared with H.264 lossless coding at the high 4:4:4 profile.

Resumo Limpo

comput develop along new trend dualcor quadcor processor one ten even hundr core multimedia one import applic comput urgent need design parallel code algorithm compress take intraframeimag code start point paper propos pure linebylin code scheme lblc meet need lblc input imag process line line sequenti line divid small fixedlength segment compress segment predict entropi code complet independ concurr mani core result generalpurpos comput show scheme can get time speedup core encod time speedup decod ideal nearlinear speed relat number core can kept core addit high parallel propos scheme can perform compar even better h high profil middl bit rate nearlossless code outperform h db lossless code bitrat reduct observ compar h lossless code high profil

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