Call for paper of a special issue on Scene Text Reading and its Applications (STRA)
摘要截稿:
全文截稿: 2019-03-31
影响因子: 7.196
期刊难度:
CCF分类: B类
中科院JCR分区:
• 大类 : 计算机科学 - 1区
• 小类 : 计算机:人工智能 - 1区
• 小类 : 工程:电子与电气 - 1区
Overview
Text in scenes is an important source of information, since it conveys high-level semantics and is almost seen everywhere. These unique traits make scene text reading, involving automated detection and recognition of texts in scene images and videos, a very active research topic in the communities of computer vision, pattern recognition, and multimedia. Recently, these communities have observed a significant surge of research interests and efforts regarding the topic of Scene Text Reading, which is evidenced by the huge number of participants and submissions of ICDAR competitions as well as papers published on top journals and conferences.
Meanwhile, various real-world applications, such as product search, augmented reality, video indexing and autonomous driving, have formed strong demands for technique and systems that can effectively and efficiently extract and understand textual information in scene images and videos. This special issue will feature original research papers related to the theories, ideas, algorithms and systems for Scene Text Reading, together with applications to real-world problems.
The topics of interest include (but not limited to) the following:
- Basic theories and representations regarding text in natural scenes
- Scene text detection methods for scene images
- Scene text recognition methods for scene images
- End-to-end reading systems for scene images
- Text detection and recognition in born-digital images
- Text detection, recognition and tracking in videos
- Script identification in the wild
- Text information mining from web images and videos
- Quality assessment and text image/video restoration methods
- Benchmark datasets and performance evaluation methods
- Applications related to scene text understanding
- Survery papers regarding the scene text understanding