In this paper, we address the problem of video object segmentation, which is to automatically identify the primary object and segment the object out in every frame. We propose a n...
We propose measures to evaluate the performance of video object segmentation and tracking methods quantitatively without ground-truth segmentation maps. The proposed measures are ...
: This paper reports ongoing work towards a dynamically reconfigurable System-on-Chip (SoC) platform for video signal processing. It consists of dedicated, statically and dynamical...
Walter Stechele, Stephan Herrmann, Andreas Herkers...
The rapidity with which digital information, particularly video is being generated, has necessitated the development of tools for efficient search of these digital media. Content...
Shih-Fu Chang, William Chen, Horace J. Meng, Hari ...
This paper proposes a number of improvements to existing work in off line video object segmentation. Object color and motion variance, and histogram-based merging are used to impr...
In this paper we describe an interactive video object segmentation tool developed in the framework of the ACTSAC098 MOMUSYS project. The Video Object Generator with User Environme...
We present metrics to evaluate the performance of video object segmentation and tracking methods quantitatively when groundtruth segmentation maps are not available. The proposed ...
In this paper two efficient unsupervised video object segmentation approaches are proposed and then extensively compared in terms of computational cost and quality of segmentation...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stef...
Most global motion estimation (GME) methods are oriented to video coding while video object segmentation either assume no global motion (GM) or directly adopt a codingoriented met...
Embedding generic shape information into probabilistic spatiotemporal video object segmentation is of pivotal importance to achieving better segmentation, since it provides valuab...