We can summarize a video using its important and/or

interesting scenes. The scenes selected, however, depend

on the purpose of the summary. A good summarizing

technique should be able to support various summarization

needs. In this paper, we introduce a technique which allows

the user to choose a few scene as important according to the

application. Based on these selections, our algorithm au-

tomatically uncovers the remaining important scenes in the

video. In this method, each scene is represented by a couple

of numerical values. Since the processing is based on these

numbers, it is highly ecient. Our experimental results in-

dicate that this approach performs accurately, and is suitable

for large video archives.-We can summarize a video using its　important　and/or

interesting　scenes. The scenes selected, however, depend

on the purpose of the summary. A good summarizing

technique should be able to support various summarization

needs. In this paper, we introduce a technique which allows

the user to choose a few scene as important according to the

application. Based on these selections, our algorithm au-

tomatically uncovers the remaining important scenes in the

video. In this method, each scene is represented by a couple

of numerical values. Since the processing is based on these

numbers, it is highly ecient. Our experimental results in-

dicate that this approach performs accurately, and is suitable

for large video archives.