Zobrazeno 1 - 10
of 171
pro vyhledávání: '"John R. Zhang"'
Autor:
Rissing, Ben A.1 (AUTHOR) rissing@cornell.edu, Carver, Laura1 (AUTHOR)
Publikováno v:
ILR Review. Jan2025, Vol. 78 Issue 1, p155-189. 35p.
Publikováno v:
IEEE Transactions on Information Forensics and Security. 8:1678-1687
Public camera feeds are increasingly being opened to use by multiple authorities (e.g., police, fire, traffic) as well as to the public. Because of the difficulty and insecurity of sharing cryptographic keys, these data are available in the clear. Ho
Autor:
Oka, Masayoshi1 (AUTHOR) moka@alumni.harvard.edu
Publikováno v:
Social Sciences (2076-0760). Dec2024, Vol. 13 Issue 12, p693. 31p.
Publikováno v:
ACM Multimedia
We hypothesize that certain speaker gestures can convey significant information that are correlated to audience engagement. We propose gesture attributes, derived from speakers' tracked hand motions to automatically quantify these gestures from video
Autor:
John R. Kender, John R. Zhang
Publikováno v:
ICIP
We present a purely algorithmic method for distinguishing when two hands are visually merged together and tracking their positions by propagating tracking information from anchor frames in single-camera video without depth information. We demonstrate
Autor:
John R. Zhang, John R. Kender
Publikováno v:
Proceedings of the 2012 ACM workshop on User experience in e-learning and augmented technologies in education.
Studies in linguistics and psychology have long observed correlations between gestures and content in speech. We explore an aspect of this phenomena within the framework of the automatic classification of upper body gestures. We demonstrate a correla
Autor:
John R. Zhang
Publikováno v:
ACM Multimedia
The growth of digitally recorded educational lectures has led to a problem of information overload. Semantic video browsers present one solution whereby content-based features are used to highlight points of interest. We focus on the domain of single
Publikováno v:
ICME
This paper introduces a method for the efficient comparison and retrieval of near duplicates of a query video from a video database. The method generates video signatures from histograms of orientations of optical flow of feature points computed from
Publikováno v:
ICMR
Various methods of content-based video copy detection have been proposed to find video copies in a large video database. In this paper, we represent video feature obtained by global and/or local detectors as signature time series. We observe that the
Autor:
Zhou, Shuai1,2 (AUTHOR), Chi, Guangqing1 (AUTHOR) gchi@psu.edu, Qiu, Huanguang3 (AUTHOR), Lei, Zhen4 (AUTHOR), Smithwick, Erica A. H.5 (AUTHOR), Chen, Jiquan6 (AUTHOR)
Publikováno v:
PLoS ONE. 10/4/2024, Vol. 19 Issue 10, p1-22. 22p.