Odjel za obradu signala uključuje znanstvena područja poput teorije signala i sustava, teorije i primjene kodiranja, uporabe filtara, prijenosa signala, estimacije, detekcije, analize, prepoznavanja, sinteze te reprodukcije signala digitalnim ili analognim uređajima i tehnikama. Pojam signala uključuje audio i video signale, govor, slike, komunikacije, signal sonara, radara kao i medicinske, glazbene i druge signale.
Odjel za obradu signala
Odjel za obradu signala Hrvatske sekcije IEEE i Zavod za elektroničke sustave i obradbu informacija FER-a vas pozivaju na predavanje
"Low complexity compression, unequal packet loss protection and rate control in 3-D DWT codec"
Evgeny Belyaev M.S., Tampere University
Predavanje će biti održano u utorak 10. rujna 2013. godine s početkom u 14:00 u Knjižnici ZESOI. Jezik predavanja je engleski, a predvidio trajanje 45 min. Predavanje je otvoreno za sve zainteresirane, a posebno pozivamo studente diplomskog i poslijediplomskog studija u okviru istraživačkog seminara!
Sažetak predavanja i životopis predavača nalaze se u nastavku obavijesti.
Short BIO:
Evgeny Belyaev received the Engineer degree in automated systems of information processing and control and the Ph.D. degree (candidate of science) in technical sciences from the State University of Aerospace Instrumentation, Saint Petersburg, Russia, in 2005 and 2009, respectively. He is currently a Researcher with the Institute of Signal Processing, Tampere University of Technology, Tampere, Finland. His research interests include real-time low-complexity video compression and transmission.
Low complexity compression, unequal packet loss protection and rate control in 3-D DWT codec
Abstract: This presentation is dedicated to fast video coding based on three-dimensional discrete wavelet transform. First, we propose a novel low-complexity bit-plane entropy coding of wavelet subbands, a rate-distortion efficient criterion for skipping 2-D wavelet transforms and entropy encoding, and one pass low-complexity rate control. Simulations results show that the proposed video codec has a much lower computational complexity (from 2 to 6 times) for the same quality level compared to the H.264/AVC standard in the low complexity mode (x.264 codec). Finally, we show how the proposed compression scheme can be combined with unequal packet loss protection based on Reed-Solomon codes at the application layer and compare it with an scalable extension of H.264/AVC standard.
Repozitorij
MODELING AND CODING OF SPEECH AND AUDIO SIGNALS [268,28 KiB]Bastiaan Kleijn KTH School of Electrical Engineering Stockholm- Flexible Quantization [186,41 KiB]Bastiaan Kleijn KTH School of Electrical Engineering Stockholm
- Robust Source Coding [259,82 KiB]Bastiaan Kleijn KTH School of Electrical Engineering Stockholm
- Signal Enhancement [197,02 KiB]Bastiaan Kleijn KTH School of Electrical Engineering Stockholm
- ArdbegVectorProcessorOct?2008 [327,7 KiB]Prezentacija Mladen Wilder
Veliki hadronski sudarivač - vrhunska tehnologija za vrhunsku znanost [19,89 MiB]Prezentacija prof. Guy Paić
