A GROUND TRUTH FOR MOTION-BASED VIDEO-OBJECT SEGMENTATION

被引：0

作者：

Tiburzi, Fabrizio ^{[1
]}

Escudero, Marcos ^{[1
]}

Bescos, Jesus ^{[1
]}

Martinez, Jose M. ^{[1
]}

机构：

[1] Univ Autonoma Madrid, Grp Tratamiento Imagenes, Escuela Politecn Super, E-28049 Madrid, Spain

来源：

2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5 | 2008年

关键词：

Segmentation ground-truth; video segmentation; object segmentation; video corpus;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes the design procedure followed to generate a ground truth for the evaluation of motion-based algorithms for video-object segmentation. A thorough review and classification of the critical factors that affect the behavior of segmentation algorithms results in a set of video scripts which have then been filmed. Foreground objects have been recorded in a chroma studio, in order to automatically obtain pixel-level high quality segmentation masks for each generated sequence. The resulting corpus (segmentation ground-truth plus filmed sequences mounted over different backgrounds) is available for research purposes under a license agreement.

引用

页码：17 / 20

页数：4