@inproceedings{42ae3cc5da864d5da5975afde9e2a0d4,
title = "A near-duplicate video retrieval method based on Zernike moments",
abstract = "In this paper, a near-duplicate video retrieval method developed based on invariant features was proposed. After shot change detection, Zernike moments are extracted from each key-frame of videos as invariant features. We obtain the key-frame similarity by computing the difference of Zernike moments between key-frames of the query and test videos. To achieve near-duplicate video retrieval, each key-frame is considered as an individual sensor and then evaluating all of key-frames is considered as multiple sensors. The results of key-frames are fused to obtain a better performance of near-duplicate video retrieval. The experimental results show that the proposed method can not only find the relevant videos effectively but also resist to the possible modifications such as re-scaling and logo insertion.",
author = "Chang, {Tang You} and Tai, {Shen Chuan} and Lin, {Guo Shiang}",
year = "2016",
month = feb,
day = "19",
doi = "10.1109/APSIPA.2015.7415393",
language = "English",
series = "2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "860--864",
booktitle = "2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015",
address = "United States",
note = "2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015 ; Conference date: 16-12-2015 Through 19-12-2015",
}