Title :
Semi-automatic video object segmentation by advanced manipulation of segmentation hierarchies
Author :
Pont-Tuset, Jordi ; Farre, Miquel A. ; Smolic, Aljoscha
Author_Institution :
Disney Res. Zurich, Zurich, Switzerland
Abstract :
For applications that require very accurate video object segmentations, semi-automatic algorithms are typically used, which help operators to minimize the annotation time, as off-the-shelf automatic segmentation techniques are still far from being precise enough in this context. This paper presents a novel interface based on a click-and-drag interaction that allows to rapidly select regions from state-of-the-art segmentation hierarchies. The interface is very responsive, allows to obtain very accurate segmentations, and is designed to minimize the human interaction. To evaluate the results, we provide a new set of object video ground truth data.
Keywords :
image segmentation; video signal processing; automatic segmentation techniques; click-and-drag interaction; object video ground truth data; segmentation hierarchy manipulation; semiautomatic video object segmentation; Adaptive optics; Databases; Image segmentation; Mice; Object segmentation; Optical imaging; Optical propagation;
Conference_Titel :
Content-Based Multimedia Indexing (CBMI), 2015 13th International Workshop on
Conference_Location :
Prague
DOI :
10.1109/CBMI.2015.7153600