Pregled bibliografske jedinice broj: 390533
Edge adaptive upsampling of depth map videos for enhanced free-viewpoint video quality
Edge adaptive upsampling of depth map videos for enhanced free-viewpoint video quality // Electronics Letters, 45 (2009), 7; 353-354 doi:10.1049/el.2009.3682 (međunarodna recenzija, članak, znanstveni)
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Naslov
Edge adaptive upsampling of depth map videos for enhanced free-viewpoint video quality
Autori
Ekmekcioglu, Erhan ; Mrak, Marta ; Worrall, Stewart ; Kondoz, Ahmet
Izvornik
Electronics Letters (0013-5194) 45
(2009), 7;
353-354
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
edge adaptive upsampling; depth map video; free-viewpoint video quality; quality enhancement; 3D video system; colour texture video; depth map representation format; shape adaptive filter; depth map reconstruction; resolution compression; depth intensity; depth mMap frames; 3D geometry; MPEG spatial scalability filter
Sažetak
Quality enhancement of free-viewpoint videos is addressed for 3D video systems that use the colour texture video plus depth map representation format. More specifically, a novel and efficient shape adaptive filter is presented for upsampling depth map videos that are of lower resolution than their colour texture counterparts. Either measurement or estimation of depth map videos can take place at lower resolution. At the same time, depth map reconstruction takes place at low resolution if reduced resolution compression techniques are utilised. The proposed design is based on the observation that significant transitions in depth intensity across depth map frames influence the overall quality of generated free-viewpoint videos. Hence, sharpness and accuracy in the free-viewpoint videos rendered using 3D geometry via depth maps, especially across object borders, are targeted. Accordingly, significant enhancement of rendered free-viewpoint video quality is obtained when the proposed method is applied on top of MPEG spatial scalability filters.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
036-0982560-1643 - Inteligentno određivanje značajki slike u sustavima za otkrivanje znanja (Grgić, Mislav, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Marta Mrak
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
Uključenost u ostale bibliografske baze podataka::
- INSPEC