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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Construction and fitting of Statistical Deformable Models (SDM) is in the core of computer vision and image analysis discipline. It can be used to estimate the object's shape, pose, parts and landmarks using only static imagery captured from monocular cameras. One of the first and most popular families of SDMs is that of Active Appearance Models. AAM uses a generative parameterization of object appearance...
Provides an abstract for each of the invited presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
Text in images and videos is vital for understanding the visual content. In this paper, we propose to combine different features (namely corner, stroke width similarity and color similarity) to detect Chinese text in complex images and videos. The corners are used to determine the potential text candidates which are then refined using stroke width and color features. To further enhance the efficiency...
Pedestrian detection has been used in applications such as car safety, video surveillance, and intelligent vehicles. In this paper, we present a pedestrian detection scheme using HOG, LUV and optical flow features with AdaBoost Decision Stump classifier. Our experiments on Caltech-USA pedestrian dataset show that the proposed scheme achieves promising results of about 16.7% log-average miss rate.
This paper proposes a multiple description image coding scheme based on 2D dual-tree transform and the enhanced x-tree encoding method. The input image is firstly mapped into 2D dual-tree discrete wavelet domain to form 2 wavelet coefficient trees. A sparse algorithm is then used to remove the most redundant wavelet coefficients resulted from dual-tree discrete wavelet transform (DDWT), forming the...
Macular retinal anomaly known as Drusen present in the eyes infected with Age Macular Degeneration (AMD) can be visualized with optical coherence tomography (OCT). This paper presents an algorithm to automatically segment retinal pigment epithelium (RPE) layer of an eye using spectral domain optical coherence tomography (SD-OCT) images for the detection of drusen. Segmentation framework is based on...
In this paper a three dimensional discrete wavelet transform (3D-DWT) based feature extraction for the classification offacial hyperspectral imagery is proposed. Most of the relevant work processes 2-D slices of hyperspectral images separately; 3D-DWT has the advantage of extracting the spatial and spectral information simultaneously. Decomposing an image into a set of spatial-spectral components...
In this paper we propose a publicly available static hand pose database called OUHANDS and protocols for training and evaluating hand pose classification and hand detection methods. A comparison between the OUHANDS database and existing databases is given. Baseline results for both of the protocols are presented.
This paper presents our efforts towards a framework for video annotation using gaze. In computer vision, video annotation (VA) is an essential step in providing a ground truth for the evaluation of object detection and tracking techniques. VA is a demanding element in the development of video processing algorithms, where each object of interest should be manually labelled. Although the community has...
In this paper, we present a novel method for human action recognition using covariance features. Computationally efficient action features are extracted from the skeleton of the subject performing the action. They aim to capture relative positions of the joints and motion over time. These features are encoded into a compact representation using a covariance matrix. We evaluate the performance of the...
Contrast change is a special type of image distortion which is vitally important for visual perception of image quality, while little investigates has been dedicated to the contrast-distorted images. A proper contrast change not only reduces human visual perception, instead of improving it. This characteristic determines that full-reference way cannot assess contrast-distorted images properly. In...
Eye localization is a vital procedure in many applications, such as face recognition and gaze tracking, and can further facilitate related procedures. Although many works have been devoted to localizing eyes in frontal facial images, most approaches cannot work effectively and efficiently in smart embedded systems (e.g., the vehicle system). In this paper, we propose an accurate eye localization approach...
In this paper, a perceptual-based rate control algorithm for the high efficiency video coding (HEVC) is proposed. Since the human visual system (HVS) is highly sensitive to edge information inherited in image and video contents, gradient magnitude is considered a very effective attribute on the computation of the spatial perceptual characteristics (SPC) and the temporal perceptual characteristic (TPC)...
Even though face recognition in frontal view and normal lighting condition works very well, the performance degenerates sharply in extreme conditions. In real applications, both the lighting and pose variation will always be encountered at the same time. Accordingly we propose an end-to-end face recognition method to deal with pose and illumination simultaneously based on convolutional neural networks...
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