Image segmentation method based on level set model has wide potential application for its excellent segmentation result. However its complex computing restricts its application in video segmentation. In order to improve the speed of image segmentation, this paper presents a new level set initialization method based on Chan-Vese level set model. After a simple iterative, we can separate out the ...

− Unsupervised motion segmentation and tracking in video sequences is a complex task, requiring robust estimation and flexible modeling. The paper presents an unsupervised method of moving object segmentation and tracking in video sequences captured by static cameras. Central to our work is the nonparametric density estimation and the mean shift algorithm for finding local maxima of the probabi...

Rapid growth in multimedia technologies facilitates the acquisition and storage of videos in a cost effective manner; leads to the processing of ginormous videos. However, for effective processing, suitable search methodologies are essential pre-requisite in any video processing system. In this paper, we propose a proficient content-based video retrieval system with the aid of extensive feature...

This paper presents a video object segmentation scheme based on global motion estimation and compensation. For video sequences with or without camera motion, we propose a unified approach to extract the moving object models. This approach combines both the spatial information from current frame and the temporal information derived from global motion compensated f inme. Experimental results demo...

In this paper we present a novel algorithm for video scene segmentation. We model a scene as a semantically consistent chunk of audio-visual data. Central to the segmentation framework is the idea of a finite-memory model. We separately segment the audio and video data into scenes, using data in the memory. The audio segmentation algorithm determines the correlations amongst the envelopes of au...

We propose a trapped-ball method for image segmentation, which is fast, supports non-uniformly colored regions, and allows robust region segmentation even in the presence of imperfectly linked region edges. We also introduce two applications by using the trapped-ball image segmentation, for temporal coherent animations generation and editing. First, we present a system for vectorizing 2D raster...

Automatic video segmentation is the first and necessary step for organizing a long video file into smaller units for subsequent browsing and retrieval. The smallest basic unit is shot–a contiguous sequence of frames recorded from a single camera operation. Relevant shots are then grouped into a high-level unit called scene that conveys some meaning to viewers. In this paper, we first give a str...

In this paper, we explore possibilities to improve existing video segmentation algorithms by utilizing a stereo-derived depth map as additional source of information. The goal is to make the segmentation results more robust in order to reduce the need for user interaction in typical video editing and compositing tasks. In tests with synthetic and real video scenes, we show that a combination of...

Many techniques have been proposed for segmenting feature point trajectories tracked through a video sequence into independent motions, but objects in the scene are usually assumed to undergo general 3-D motions. As a result, the segmentation accuracy considerably deteriorates in realistic video sequences in which object motions are nearly degenerate. In this paper, we propose a multi-stage uns...