Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Spatio-Temporal Video Object Segmentation via Scale-Adaptive 3D Structure Tensor | EURASIP Journal on Applied Signal Processing 2004 6 798-813 2004 Hindawi Publishing Corporation Spatio-Temporal Video Object Segmentation via Scale-Adaptive 3D Structure Tensor Hai-Yun Wang School of Electrical and Electronic Engineering Nanyang Technological University Nanyang Avenue Singapore 639798 Email haiyun@ Kai-Kuang Ma School of Electrical and Electronic Engineering Nanyang Technological University Nanyang Avenue Singapore 639798 Email ekkma@. Received 29 January 2003 Revised 5 September 2003 To address multiple motions and deformable objects motions encountered in existing region-based approaches an automatic video object VO segmentation methodology is proposed in this paper by exploiting the duality of image segmentation and motion estimation such that spatial and temporal information could assist each other to jointly yield much improved segmentation results. The key novelties of our methodare 1 scale-adaptive tensor computation 2 spatial-constrained motion mask generation without invoking dense motion-field computation 3 rigidity analysis 4 motion mask generation and selection and 5 motion-constrained spatial region merging. Experimental results demonstrate that these novelties jointly contribute much more accurate VO segmentation both in spatial and temporal domains. Keywords and phrases video object segmentation 3D structure tensor rigidity analysis. 1. INTRODUCTION Due to large amount of data and highly dynamic contents digital video processing creates many technical challenges for conducting even some basic tasks that we human beings have been simply taking for granted in our daily lives. Among these operations video object VO segmentation is an emerging signal processing tool and is gradually becoming indispensable to many digital video applications often encountered in multimedia virtual reality computer vision and machine intelligence. Given a digital video how to bestow a machine with the capability of automatically .
