Key Frame Extraction Towards Kernel-SIFT Identification

DOI

10.2991/icacsei.2013.40How to use a DOI?

Keywords

key frame, SIFT, shot cut detection

Abstract

Key frame detection is a fundamental technique in video retrieving and video summarizing. In this paper, an effective and efficient content-based key-frame detection method is proposed. This method is based on content analysis and features detection from key frames. There are two main contributions in the proposed method. Firstly, shot cuts dividing scheme is studied here to exclude transition frames (such as fade in and fade out frames), which may disturb key-frame detection. On the other hand, key frames are selected according to each frame’s status in the whole shots, which is determined by kernel-SIFT matching rate. Experimental results show that the proposed method can extract the most effective key frames, which have represented the whole shots very well and contained significant features than other histogram-based methods.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhen yu Wu
AU  - Rui qing Wu
AU  - Hong yang Yu
AU  - Bin Tang
PY  - 2013/08
DA  - 2013/08
TI  - Key Frame Extraction Towards Kernel-SIFT Identification
BT  - Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 163
EP  - 166
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.40
DO  - 10.2991/icacsei.2013.40
ID  - Wu2013/08
ER  -