Video segmentation assumes an important role in many object-based video applications, such as those enabled by the recent MPEG-4 standard for coding audiovisual objects, or by the upcoming MPEG-7 standard for multimedia content description. This paper presents a video segmentation toolbox, giving emphasis to the graphical user interface and to the support for user interaction. Two types of user...

Given a video sequence decompressed from a compressed video sequence associated with motion vector information for each image frame, this short note presents an efficient predictive watershed-based video segmentation algorithm using motion vectors. The proposed algorithm has much computation-saving merit since the next frame can inherit the segmented results of the current frame according to th...

This paper develops a large scale surveillance video data unsupervised segmentation technique regarding whether there is a presence of independent motion. We propose a holistic, in-compression approach to efficient video segmentation. By efficient, we mean that the processing speed is close to or even faster than real-time in “normal” platforms (we do not assume using special hardware or any pa...

In this dissertation, the problem of video object detection has been addressed. Initially this is accomplished by the existing method of temporal segmentation. It has been observed that the Video Object Plane (VOP) generated by temporal segmentation has a strong limitation in the sense that for slow moving video object it exhibits either poor performance or fails. Therefore, the problem of obje...

Segmentation is the first step in managing data for many information retrieval tasks. Automatic audio transcriptions and digital video footage are typically continuous data sources that must be pre-processed for segmentation into logical entities that can be stored, queried, and retrieved. Shot boundary detection is a common low-level video segmentation technique, where a video stream is divide...