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pro vyhledávání: '"John R. Zhang"'
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
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
Publikováno v:
Proceedings of the 2011 ACM workshop on Social and behavioural networked media access.
Classification of web-based videos is an important task with many applications in video search and ads targeting. However, collecting labeled data needed for classifier training may be prohibitively expensive. Semi-supervised learning provides a poss
Autor:
John R. Zhang, John R. Kender
Publikováno v:
ICIP
The communicative importance of gestures in teaching environments have been widely studied. Two classes of gestures — point and spread gestures — have been identified to indicate pedagogical importance in teaching discourse [1]. In this work, we
Publikováno v:
CVPR Workshops
Human arm and body gestures have long been known to hold significance in communication, especially with respect to teaching. We gather ground truth annotations of gesture appearance using a 27-bit pose vector. We manually annotate and analyze the ges