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Motif is a promising descriptor to depict the content of image. In this study, two motif-relevant matrices, i.e. a motif average matrix (MAM) and a motif excessive matrix (MEM), are proposed firstly to describe the color and texture features of an image. Subsequently, in the light of the inference of MAM and MEM, a motif matrix (MM) is further proposed to resolve the issues of rotated image retrieval...
We introduce a Multiple Granularity Analysis framework for video segmentation in a coarse-to-fine manner. We cast video segmentation as a spatio-temporal superpixel labeling problem. Benefited from the bounding volume provided by off-the-shelf object trackers, we estimate the foreground/ background super-pixel labeling using the spatiotemporal multiple instance learning algorithm to obtain coarse...
Every minute, staggering amounts of user-generated videos are uploaded to on-line social networks. These videos can generate significant advertising revenue, providing strong incentive for unscrupulous individuals that wish to capitalize on this bonanza by pirating short clips from popular content and altering the copied media in ways that might bypass detection. Unfortunately, while the challenges...
This paper proposes a method of invasion detection on transmission lines using saliency computation. Previous researches mainly extract transmission lines with Canny edge detector and Hough transformation (HT), then detect invasions from the topological characteristics along the lines. However, HT works poorly in the system where transmission lines are curves, and too many false detection will arise...
In this paper, we propose a blob-based method of crowd counting across a line of interest(LOI), which can be further extended to counting inside a region of interest(ROI). Firstly, we detect moving blobs in which low-level features are extracted and grouped. Since features vary with different walking pace, blob velocity is estimated using optical flow, and principal velocity component is further extracted...
Sina Weibo has become one of the most popular sites in China. Attracted by the huge commercial potential on Sina Weibo, many companies create their own Weibo accounts to enhance their online influence. Companies deliver information and interact with customers through placing brand posts. In this paper, some features are extracted from properties of brand posts and evaluate the roles of these features...
We explore the robustness and usability of moving-image object recognition (video) captchas, designing and implementing automated attacks based on computer vision techniques. Our approach is suitable for broad classes of moving-image captchas involving rigid objects. We first present an attack that defeats instances of such a captcha (NuCaptcha) representing the state-of-the-art, involving dynamic...
When people take photos through a transparent surface, it is ubiquitous that the images are superimposed with two source images, the transmitted layer and the reflected layer. In this paper, we utilize the sparsity priors over image color distribution and image gradients, and we realize the separation of such images by exploiting the diversity (relative motions of source images) in different snapshots...
The general configuration of body is a valuable cue for human identification, which is ignored by the existing approaches. In this paper, we present an approach for human identification by using body prior and the generalized Earth Mover's Distance (EMD). The common knowledge that a pedestrian is composed of upper body and the lower one is employed as a body prior. To achieve more robust body segmentation,...
Gait recognition has already achieved satisfactory performance on small databases under ideal conditions. Most of the existing approaches represent gait pattern using a locomotion model or statistic model of human silhouette. However, it is still a challenging task to conduct human gait identification under variations of clothing and carrying condition in real scenes. In this paper, an adaptive part-based...
This article presents a global optimization approach to reconstruct surfaces from a single document image. Instead of assuming globally developable in previous works which restricted the surface to be cylindrical, conical, etc, we use a free form parametric model which is simple yet expressive enough in the reconstruction task. We then apply developable constraints locally on sample points from extracted...
We propose a watermarking scheme for color images based on local quaternion Fourier spectral analysis (LQFSA).The merits of the proposed scheme include: 1) Quaternion Fourier transform is defined in a 4D vector space and thus provides a larger embedding scope for watermark than conventional monochannel transformation techniques. 2) We improve the imperceptibility of watermark with regard to human...
Modeling dynamic scenes is a challenging problem faced by applications such as digital content generation and motion analysis. Fast single-frame methods obtain sparse depth samples while multiple- frame methods often reply on the rigidity of the object to correspond a small number of consecutive shots for decoding the pattern by feature tracking. We present a novel structured-light acquisition method...
Al-Fahoum and Reza [1] characterized the blocking artifacts in block based DCT (BDCT) compressed image into five types: grid noise, staircase noise, ringing artifacts, corner outliers and the corruption of edges. Most of the comprehensive deblocking algorithms lack a unified framework, and different artifacts are processed with independent ad hoc schemes. In this paper, we propose a comprehensive...
We explore the principles of quaternion wavelet construction for achieving multiscale analysis of geometric image features. Then the quaternion wavelets are applied to propose a cooperative stereo matching algorithm using top-down segmentation-based disparity propagation. Without bidirectional matching to remove ambiguous outliers, uniqueness constraint is enforced on cost function by inhibiting the...
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