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Downloading astronomical images through Internet is a slow operation due to their huge size. Although several lossless image coding standards that have good performance have been developed in the past years, none of them are specifically designed for astronomical data. Motivated by this, this paper proposes a lossless coding scheme for astronomical image compressions. We design a joint predictor which...
Document images from mobile phone cameras and digital cameras suffer from geometric distortion; therefore distortion correction is desired for better character recognition. We propose a method to calculate the aspect ratio of planar documents using 3D perspective projection of quadrangles without using vanishing points. The proposed method is based on estimation of direction of a pair of parallel...
Image spam is annoying email users around the world. Most previous work for image spam detection focuses on supervised learning approaches. However, it is costly to get enough trustworthy labels for learning, especially for an adversarial problem where spammers constantly modify patterns to evade the classifier. To address this issue, we employ the principle of active learning where the learner guides...
User generated video content has become increasingly popular, with a large number of internet video sharing portals appearing. Many portals wish to rapidly find and remove objectionable material from the uploaded videos. This paper considers the flagging of uploaded videos as potentially objectionable due to sexual content of an adult nature. Such videos are often characterized by the presence of...
This paper presents an efficient approach to group and summarize the large-scale image dataset gathered from the internet. Our method firstly employs the bag-of-visual-words model which has been successfully used in image retrieval applications to give the similarity between images and divides the large image collections into separated coarse groups. Next, in each group, we match the features between...
We describe techniques for registering images from sequences of aerial images captured of the same terrain on different days. The techniques are robust to changes in weather, including variable lighting conditions, shadows, and sparse intervening clouds. The primary underlying technique is robust feature matching between images, which is performed using both robust template matching and SIFT-like...
Metallic coatings change in appearance as the viewing and illumination direction change. Matching of such finishes requires a match of color as viewed under different lighting and viewing conditions, as well as texture, i.e. matching the spatial distribution of color. The system described in this paper provides a purely objective and automatic match measure for evaluating the goodness of a color match...
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