NDLI: Video picture-in-picture detection using spatio-temporal slicing

Content Provider	IEEE Xplore Digital Library
Author	Mengren Qian Luntian Mou Jia Li Yonghong Tian
Copyright Year	2014
Description	Author affiliation: Nat. Eng. Lab. for Video Technol., Peking Univ., Beijing, China (Mengren Qian; Luntian Mou; Jia Li; Yonghong Tian)
Abstract	For video copy detection and near-duplicate retrieval applications, picture-in-picture (PiP) is one of widely-used but especially difficult transformations to be detected. Traditionally, PiPs in a video are detected by extracting edges within key frames sampled from the video. However, without taking the temporal continuity between frames into account, the performance of these frame-based methods is not that promising. In this paper, we propose a new video PiP detection method by introducing spatio-temporal slicing (STS) to establish the corresponding edge surface probability measurement. An optimization algorithm is then designed to refine vertical and horizontal edge lines by filtering noisy edges. This PiP detection method can be used to improve the performance of video copy detection particularly in the case of the most challenging PiP transformation. The experimental results on the TRECVID-CCD 2010 dataset demonstrate the effectiveness and efficiency of the proposed method.
Starting Page	1
Ending Page	6
File Size	834792
Page Count	6
File Format	PDF
ISBN	9781479947171
ISSN	19457871
DOI	10.1109/ICMEW.2014.6890580
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Charge coupled devices Content based video copy detection Spatio-temporal slicing (STS) Fuses Image edge detection Video Picture-in-picture Detectors Educational institutions Noise measurement Edge detection Optimization
Content Type	Text
Resource Type	Article

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