A distance measure for video sequence similarity matching

被引：19

作者：

Adjeroh, DA ^{[1
]}

Lee, MC ^{[1
]}

King, I ^{[1
]}

机构：

[1] Chinese Univ Hong Kong, Dept Comp Sci & Engn, Shatin, NT, Hong Kong

来源：

INTERNATIONAL WORKSHOP ON MULTI-MEDIA DATABASE MANAGEMENT SYSTEMS- PROCEEDINGS | 1998年

关键词：

content based video retrieval; video sequence-to-sequence matching; vstrings; vstring edit distance; distance measures; multimedia databases;

D O I：

10.1109/MMDBMS.1998.709503

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 [计算机科学与技术];

摘要：

Contrary to current approaches which generally treat the video data as a random collection of static images, content-based video retrieval requires methods for video sequence-to-sequence matching incorporating the temporal order inherent in video data. In this paper, we formulate the problem of video sequence-to-sequence matching as a pattern matching problem. New string edit operations required for the special characteristics of video sequences and the unique features of the vstring representation are introduced. Based on the edit operations, the vstring edit distance is proposed as a new similarity measure for video sequence matching.

引用

页码：72 / 79

页数：2