In the studies on collaborative learning the terms collaboration and cooperation are usually distinguished from each other. The former refers to a working together of a group towards a common objective through mutual interventions and sharing, and the latter refers to the joint effort of a group towards the achievement of an objective through strategies based on the partitioning of work. This distinction is not to be taken as dichotomy. In reality cooperation and collaboration can be seen as two activities that place themselves along a continuum. In some cases, especially for collaborative online activities, a certain degree of structuring may be necessary.
Published in Chapter:
Video Object Segmentation
Ee Ping Ong (Institute for Infocomm Research, Singapore) and Weisi Lin (Nanyang Technological University, Singapore)
Copyright: © 2009
|Pages: 8
DOI: 10.4018/978-1-59904-845-1.ch106
Abstract
Video object segmentation aims to extract different video objects from a video (i.e., a sequence of consecutive images). It has attracted vast interests and substantial research effort for the past decade because it is a prerequisite for visual content retrieval (e.g., MPEG-7 related schemes), object-based compression and coding (e.g., MPEG-4 codecs), object recognition, object tracking, security video surveillance, traffic monitoring for law enforcement, and many other applications. Video object segmentation is a nonstandardized but indispensable component for an MPEG4/7 scheme in order to successfully develop a complete solution. In fact, in order to utilize MPEG-4 object-based video coding, video object segmentation must first be carried out to extract the required video object masks. Video object segmentation is an even more important issue in military applications such as real-time remote missile/vehicle/soldier’s identification and tracking. Other possible applications include home/office/warehouse security where monitoring and recording of intruders/foreign objects, alarming the personnel concerned or/and transmitting the segmented foreground objects via a bandwidth-hungry channel during the appearance of intruders are of particular interest. Thus, it can be seen that fully automatic video object segmentation tool is a very useful tool that has very wide practical applications in our everyday life where it can contribute to improved efficiency, time, manpower, and cost savings.