Key Frame Extraction Based on Scale Invariant Feature Transform

被引：1
|
作者：
Liu, Gentao [1 ]
Wen, Xiangming [1 ]
Lin, Xinqi [1 ]
Zhang, Hua [1 ]
机构：
[1] BUPT, Sch Informat & Telecommun, Beijing 100876, Peoples R China
来源：
THIRD INTERNATIONAL CONFERENCE ON MULTIMEDIA AND UBIQUITOUS ENGINEERING (MUE 2009) | 2009年
关键词：
key frame; SIFT; chain-match; rule-match; video clip;
D O I：
10.1109/MUE.2009.19
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Key frames are the subset of still images which best represent the content of a video sequence in an abstracted manner. They are widely used in video indexing, browsing and retrieval. In this paper, a novel content-based method for key frame extraction using scale invariant feature transform (SIFT) is proposed. Two mechanisms called chain-match and rule-match are developed to segment a video into groups of frames (video clips) according to vision content firstly. Then the frame with most SIFT keypoints in each video clip is extracted as the key frame. Experimental results show the method is effective and has a good performance.
引用
收藏
页码：45 / 48
页数：4
相关论文
共 50 条
  • [31] An Algorithm of Key Frame Extraction Based on I Frame and RS
    Zhu, Yaling
    Chen, Na
    Zhang, Ruimin
    2016 3RD INTERNATIONAL CONFERENCE ON MECHANICAL, INDUSTRIAL, AND MANUFACTURING ENGINEERING (MIME 2016), 2016, : 141 - 144
  • [32] Key Frame Extraction Based On Frame Blocks Differential Accumulation
    Cao, Changqing
    Chen, Zehua
    Xie, Gang
    Lei, Shaoshuai
    PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2012, : 3621 - 3625
  • [33] A Method for Power System Static Stability Situation Assessment Based on Scale Invariant Feature Transform
    Tian, Yi-tong
    Yan, Gan-gui
    Liu, Dao-wei
    Li, Bai-qing
    Zhang, Rui
    Yang, Hong-ying
    Zhao, Gao-shang
    2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 4124 - 4129
  • [34] Analysis of Image Stitching Error Based on Scale Invariant Feature Transform and Random Sample Consensus
    Shuang, Dou
    Cai, Hua
    Yang, Yong
    Han Tailin
    Xue, Menghan
    2015 12TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD), 2015, : 1883 - 1887
  • [35] Scale Invariant Feature Transform with Crow Optimization for Breast Cancer Detection
    Selvi, A.
    Thilagamani, S.
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2023, 36 (02) : 1257 - 1272
  • [36] TRAFFIC SIGN RECOGNITION USING SCALE INVARIANT FEATURE TRANSFORM AND SVM
    Hu, Xiaoguang
    Zhu, Xinyan
    Li, Deren
    Li, Hui
    GEOSPATIAL DATA AND GEOVISUALIZATION: ENVIRONMENT, SECURITY, AND SOCIETY, 2010, 38
  • [37] Perceptual Hash Function based on Scale-Invariant Feature Transform and Singular Value Decomposition
    Neelima, Arambam
    Singh, Kh Manglem
    COMPUTER JOURNAL, 2016, 59 (09) : 1275 - 1281
  • [38] Classification of Histopathological Images using Scale-Invariant Feature Transform
    Bukala, Andrzej
    Cyganek, Boguslaw
    Koziarski, Michal
    Kwolek, Bogdan
    Olborski, Boguslaw
    Antosz, Zbigniew
    Swadzba, Jakub
    Sitkowski, Piotr
    PROCEEDINGS OF THE 15TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS, VOL 5: VISAPP, 2020, : 506 - 512
  • [39] Spectral-Spatial Scale Invariant Feature Transform for Hyperspectral Images
    Al-khafaji, Suhad Lateef
    Zhou, Jun
    Zia, Ali
    Liew, Alan Wee-Chung
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 27 (02) : 837 - 850
  • [40] Key frame extraction based on mutual information
    Lin Jian
    Xia Jing-bo
    PROCEEDINGS OF 2005 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1 AND 2, 2005, : 723 - 725
12345