Paper data
Title:
Image Similarity For Automatic Video Summarization Author(s): Yahiaoui Itheri, Eurecom Merialdo Bernard, Eurecom Huet Benoit, Eurecom Page numbers in the proceedings: Volume III pp 353-356 Session: Content based Audio and Video Indexing (1/2)
Paper abstract
Image similarity is a key issue for many multimedia applications. Video summarization is no exception. We have recently proposed a number of methodologies for creating visually significant summaries of videos. Our approach relies heavily on the metric which decides on whether two video key-frames are similar or not. In this paper, we compare a number of histogram representations and possible distance measures with the objective of improving the quality of video summaries.
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