Big Island, HI, USA
Jan. 6, 2003 to Jan. 9, 2003
Mohamed Ahmed , National Research Council of Canada
Roger Impey , National Research Council of Canada
Ahmed Karmouch , University of Ottawa
Video information, image processing and computer vision techniques are developing rapidly nowadays because of the availability of acquisition, processing and editing tools, which use current hardware and software systems. However, problems still remain in conveying this video data from enterprise video databases or emails to their end users. Limiting factors are the resource capabilities in distributed architectures, enterprise policies and the features of the users? terminals. The efficient use of image processing, video indexing and analysis techniques can provide users with solutions or alternatives. The paper presents a new algorithm for achieving video segmentation, indexing and key framing tasks. The algorithm is based on color histograms and uses a binary penetration technique. Although a lot has been done in this area, most work does not adequately consider the optimization of timing performance and processing storage. This is especially the case if the techniques are designed for use in run-time distributed environments. The main contribution is to blend high performance and storage criteria with the need to achieve effective results. Another issue is the heterogeneous run-time conditions. Thus, we designed a platform-independent XML schema of our video service. We will present our implemented prototype to realize a video web service over the world wide web.
Mohamed Ahmed, Roger Impey, Ahmed Karmouch, "Developing Video Services for Mobile Users", HICSS, 2003, 36th Hawaii International Conference on Systems Sciences, 36th Hawaii International Conference on Systems Sciences 2003, pp. 106, doi:10.1109/HICSS.2003.1174247