Title :

Saliency-guided video deinterlacing

Author(s) :

Trocan, Maria [Auteur]
Institut Supérieur d'Electronique de Paris [ISEP]
Coudoux, François-Xavier [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]

Scientific editor(s) :

Manuel Núñez
Ngoc Thanh Nguyen
David Camacho
Bogdan Trawiński

Conference title :

7th International Conference on Computational Collective Intelligence Technologies and Applications, ICCCI 2015

City :

Madrid

Country :

Espagne

Start date of the conference :

2015-09-21

Book title :

Computational Collective Intelligence

Publisher :

Springer Cham

Publication date :

2015-10-24

English keyword(s) :

Video Sequence
Motion Vector
Motion Estimation
Salient Region
Visual Saliency

HAL domain(s) :

Informatique [cs]
Sciences de l'ingénieur [physics]

English abstract : [en]

Video deinterlacing is a technique wherein the interlaced video format is converted into progressive scan format for nowadays display devices. In this paper a spatial saliency-guided motion compensated deinterlacing method ...
Show more >Video deinterlacing is a technique wherein the interlaced video format is converted into progressive scan format for nowadays display devices. In this paper a spatial saliency-guided motion compensated deinterlacing method is proposed: our algorithm classifies the field according to its texture and viewer’s region of interest and adapts the motion estimation and compensation, as well as the saliency-guided interpolation in order to ensure high quality frame reconstruction. The experimental results show significant improvement of the proposed method over classical motion compensated and adaptive deinterlacing techniques.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Comment :

Special Session WebSys I - Collective Intelligence in Web Systems - Web Systems AnalysisLect. Notes Comput. Sci. 9330 (2015) 24-33

Collections :

• Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL