Intuitive Input Methods for Interactive Segmentation on Mobile Touch-Based Devices

被引:1
作者
Korinke, Christoph [1 ]
机构
[1] OFFIS Inst Informat Technol, Oldenburg, Germany
来源
MM'15: PROCEEDINGS OF THE 2015 ACM MULTIMEDIA CONFERENCE | 2015年
关键词
Interactive Image Segmentation; Input Methods Evaluation; Mobile touch-based Devices;
D O I
10.1145/2733373.2807993
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Existing interactive image segmentation approaches mainly focus on the algorithms rather than the input methods. The literature regarding the input methods is mainly applied to desktop PCs. However, there is a transition to mobile touch based devices. In this paper we describe our approach to identify a set of intuitive input methods for interactive segmentation on mobile devices. Preliminary results of two user studies are presented. A description of our planned research is given, divided into initial and refinement input methods and the exploitation of the input for segmentation algorithms.
引用
收藏
页码:645 / 648
页数:4
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