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 Environment (VOGUE) combines three different sets of automatic and semi-automatic tools (spatial segmentation, object tracking and temporal segmentation) with general purpose tools for user interaction. The result is an integra...

Segmentation is an important stage in image/video analysis and understanding. There are many different approaches and algorithms for image/video segmentation, hence their evaluation is also important in order to assess the quality of segmentation results. Nonetheless, so far there was little research aimed specifically at evaluation of video segmentation quality. In this article, we propose the...

While Video Instance Segmentation (VIS) has seen rapid progress, current approaches struggle to predict high-quality masks with accurate boundary details. Moreover, the predicted segmentations often fluctuate over time, suggesting that temporal consistency cues are neglected or not fully utilized. In this paper, we set out tackle these issues, aim of achieving highly detailed and more temporall...

53 ABSTRACT: Emerging multimedia applications demands content-based video processing. Video has to be segmented into objects for content-based processing. A number of video object segmentation algorithms have been proposed such as semiautomatic and automatic. Semiautomatic methods adds burden to users and also not suitable for some applications. Automatic segmentation systems are still a challe...

The object detection in video is one of the critical task. In this paper, a hybrid model is presented to perform the segmentation over the video. The work includes the detection of video frame that is followed by series of image processing operations to detect the object. In this work, a watershed improved morphological approach is defined to perform the segmentation. This segmentation process ...

The segmentation of video into contiguous scenes is becoming an important problem in many applications. Since video data is a rich source of spatio-temporal information, diierent types of features can be computed in the video data. Each of these features provide a cue for the segmenta-tion of video and is usually suucient to perform an approximate segmentation of video. However, the features ma...

Object segmentation in video sequence is a basic and important task in video applications such as surveillance systems and video coding. Nonparametric snake algorithms for object segmentation have been proposed to overcome the drawback of conventional snake algorithms: the dependency on several parameters. In this chapter, a new object segmentation algorithm for video, based on a nonparametric ...

Video segmentation assumes a major role in the context of object-based coding and description applications. Evaluating the adequacy of a segmentation result for a given application is a requisite both to allow the appropriate selection of segmentation algorithms as well as to adjust their parameters for optimal performance. Subjective testing, the current practice for the evaluation of video se...

Existing methods in the semantic computer vision community seem unable to deal with the explosion and richness of modern, open-source and social video content. Although sophisticated methods such as object detection or bag-of-words models have been well studied, they typically operate on low level features and ultimately suffer from either scalability issues or a lack of semantic meaning. On th...

Due to its importance, video segmentation has regained interest recently. However, there is no common agreement about the necessary ingredients for best performance. This work contributes a thorough analysis of various withinand between-frame affinities suitable for video segmentation. Our results show that a frame-based superpixel segmentation combined with a few motion and appearance-based af...