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Robust image hashing techniques have been extensively studied in the recent years, with constant improvements. The challenge is that the hashing schemes need to be robust to most content-preservation operations (CPOs) and at the same time have reliable discriminative capability. One of the most important application of such image hashing techniques is image authentication. Most of the existing image...
Current approaches for text line segmentation often are either very specialized to specific domains or they depend on many parameters. More specifically, the extraction of text-lines with large sizes, i.e., headings and titles in the Arabic like script could not be segmented correctly by state-of-the-art methods. In this work, we present a simple and robust text-line segmentation approach. The proposed...
This paper presents an iterative motion estimation and error evaluation method for efficient occlusion detection. From a pair of reference and target images, the proposed method detects occlusions using four steps: (i) pre-processing for robust motion estimation, (ii) detection of candidates for the occlusion, (iii) one-dimensional motion estimation, and (iv) motion evaluation and update in the target...
The Homestay websites in Malaysia are gaining popularity, locally and abroad. Thus, it is imperative that it should be designed by using the proper accessibility guidelines However, the current accessibility state of the Homestay websites in Malaysia is still unknown. The main objective of this research is to investigate the accessibility of Homestay websites in Malaysia. There are 328 samples of...
Recently, advanced driver assistance system becomes an important area for automotive industries. Especially, stereo vision-based system has been actively researched. However, in practice, the system has a difficulty in getting correct information because the images from multiple cameras may contain different exposure levels, illumination changes, and lighting geometry differences. To isolate these...
Video has difficulty to maintain consistent intensity and color tone from frame to frame. Particularly, it happens when imaging device such as black box camera has to deal with fast changing illumination environment. However, conventional automatic white balance algorithms cannot handle this good enough to maintain tone consistency, which is observed in most commercial black box products. In this...
The GrabCut, which uses the graph-cut iteratively, is popularly used as an interactive image segmentation method since it can produce the globally optimal result. However, since the initialization of the GrabCut is roughly performed by the manual interaction, the accuracy of the segmentation result is not guaranteed when the user defines an inaccurate guide. To solve this problem, in this paper, we...
In the context of robust covariance matrix estimation, this work generalizes the shrinkage covariance matrix estimator introduced in [1, 2]. The shrinkage method is a way to improve and to regularize the Tyler's estimator [3, 4]. This paper proves that the shrinkage estimator does not require any trace constraint to be well-defined, as it has been previously developed in [1]. The existence and the...
Video text often contains highly useful semantic information, the analysis of which can to a great extent facilitate video retrieving and understanding. In this paper, a novel method has been proposed to detect video text. Text character strokes display dense edge features in both horizontal and vertical directions. Therefore the authors create a text edge map on the basis of the Kirsch operators...
With the development of Internet and computer technology, the digital videos increase explosively, so how to get the interesting video clips from the massive video dataset quickly and efficiently has become an urgent problem in the field of information retrieval (IR). In this paper, a new Instance-based video search (INS) engine is proposed to solve the urgent problem. Firstly, video key-frames are...
Road detection is an important task in intelligent transportation system (ITS). Variation of illumination is a major issue in most of the vision approaches, which causes the problem of false detection. In this paper, we propose an automatic illumination invariant road detection method with stereo vision. Disparity and illumination invariant road direction are estimated and the road probability map...
Removing haze technique is an important and necessary procedure to avoid ill-condition visibility of human eyes. To improve the dehazing quality, a new haze-removing method is proposed in this paper. Specifically, this method can be properly applied to various dense and distribution haze images without sacrificing color naturalness by using refined Dark Channel Prior(DCP) and adding post processing...
In this paper we propose a new invisible, non-blind digital watermarking scheme for color images based on singular vector domain (SVD). In this new approach, same or different watermarks can be embedded into the three color channels (R, G, B) of the host image in order to increase the robustness of the watermark. The proposed method demonstrates that color image watermarking is possible without affecting...
This paper proposes a color tracking strategy designed to improve the robustness against luminance and saturation changes due to illumination variations. On the one hand, color is helpful in terms of photometric invariance and separability power. On the other hand, it is more costly in time and resources and most color invariants are ill-defined at low saturation. To answer these issues, the proposed...
Low depth of field (DOF) is an important technique to emphasize the object of interest (OOI) within an image. When viewing a low depth of field image, the viewer implicitly segments the image into region of interest and non regions of interest which has major impact on the perception of the image. Thus, robust algorithms for the detection of the OOI in low DOF images provide valuable information for...
Periodic clustered-dot screens are widely used for electrophotographic printers due to their homogeneous halftone texture and their robustness to dot gain. However, when applied to color printing, there are two important phenomena that limit the quality of printed color halftones generated using a screening technology: (1) moire´ due to the superposition halftone patterns corresponding to different...
In this paper, we propose a method that can handle the color correction of a large collection of photographs simultaneously and automatically via robust reference selection. The method does not use any particular model to handle the errors on the photographs, but corrects all kinds of errors caused by changes of viewpoint, large illumination variations, gross pixel corruptions, and partial occlusions...
We propose a robust abandoned object detection algorithm for real-time video surveillance. Different from conventional approaches that mostly rely on pixel-level processing, we perform region-level analysis in both background maintenance and static foreground object detection. In background maintenance, region-level information is fed back to adaptively control the learning rate. In static foreground...
This paper introduces a statistical inference framework to temporally propagate trimap labels from sparsely defined key frames to estimate trimaps for the entire video sequence. Trimap is a fundamental requirement for digital image and video matting approaches. Statistical inference is coupled with Bayesian statistics to allow robust trimap labelling in the presence of shadows, illumination variation...
This paper addresses the problem of object tracking by learning a discriminative classifier to separate the object from its background. The online-learned classifier is used to adaptively model object's appearance and its background. To solve the typical problem of erroneous training examples generated during tracking, an online multiple instance learning (MIL) algorithm is used by allowing false...
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