MPEG-4 based video coding applications require the segmentation of each video image in its principal moving objects to be coded independently from each other. Several techniques of video objects segmentation for coding purposes have been presented in literature; all such segmentation techniques are based on the smart soft-thresholding of the motion fields, the best ones dealing with dense motio...

This paper presents a fast image segmentation algorithm for extracting areas-of-interest (”hotspots”) from video sequences. Because video hotspots, which are the visual analogues of HTML hyperlinks, highly depend on a user’s interest, it is very difficult to automatically extract the exact outlines of objects of interest in videos. Our approach of interactive video hotspot retrieval is to provi...

We address semantic video object segmentation via a novel cross-granularity hierarchical graphical model to integrate tracklet and object proposal reasoning with superpixel labeling. Tracklet characterizes varying spatial-temporal relations of video object which, however, quite often suffers from sporadic local outliers. In order to acquire highquality tracklets, we propose a transductive infer...

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 challenge, although...

Multimedia is rapidly spreading due to the increasing number of application fields and Internet technologies. The development of a retrieval system is urgently needed to retrieve the demanded information by users. Image information is widely used for the contentbased retrieval of moving pictures. It is mainly used to segment a video by scene. The process that divides video into shots is called ...

In recent years due to various kind of social activities such as theft, bomb attack and other terrorist attack preventive security measures at public places has gained lot of importance. Abandoned Object detection is most crucial task in visual surveillance system. Many Public or open areas are facilitated with cameras at multiple angles to monitor the security of that area for keeping citizens...

This paper deals with fast video segmentation using active contours. Region-based active contours is a powerful technique for video segmentation. However most of these methods are implemented using level-sets. Although level-set methods provide accurate segmentation, they suffer from large computational cost. The proposed method uses BSpline parametric method to highly improve the computation c...

Fusion of image sequences is a fundamental operation in numerous video applications and usually consists of segmentation, matting and compositing. We present a unified framework for performing these operations on video in the gradient domain. Our approach consists of 3D graph cut computation followed by reconstruction of a new 3D vector field by solving the Poisson equation. We introduce new me...

We study the problem of segmenting independently moving objects in a video sequence. Several algorithms exist for classifying the trajectories of the feature points into independent motions, but the performance depends on the validity of the underlying camera imaging model. In this paper, we present a scheme for automatically selecting the best model using the geometric AIC before the segmentat...

Today there is no “Google for video” that actually searches the content of the video. Content-based video search can be achieved by indexing video scene transcriptions much like a film script. We propose to develop a tool that automatically processes video and produces a transcript representing its contents. This processing step may involve scene segmentation, object recognition, behavior recog...