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In this paper, the problem of automatic detection of tuberculosis lesion on 3D lung CT images is considered as a benchmark for testing out algorithms based on a modern concept of Deep Learning. For tr...
General object recognition and image understanding is recognized as a dramatic goal for computervision and multimedia retrieval. In spite of the great e®orts devoted in the last two decades, it s...
In this paper, we describe our system for surveillance event detection task in TRECVid 2011. We focus on pair-wise events (e.g., PeopleMeet, PeopleSplitUp, Embrace) that need to explore the relationsh...
In this paper, a new visual saliency detection method is proposed based on the spatially weighted dissimilarity. We measured the saliency by integrating three elements as follows: the dissimilarities ...
Robust and fast near-duplicate video detection is an important task with many potential applications. Most existing systems focus on the comparison between full copy videos or partial nearduplicate vi...
In this paper, we proposed a fast and robust unsupervised framework for anomaly detection and localization in crowed scenes. Our method avoids modeling the normal state of the crowds which is a very c...
Moving object detection is an important task in real-time video surveillance. However, in real scenario, moving cast shadows associated with moving objects may also be detected, making moving cast s...
Although many approaches have been proposed for video shot boundary detection, dissolve detection remains an open issue. For a dissolve, we could find that the video frames reveal a “clarity–blur–cl...
A large amount of videos on the Internet are generated from authorized sources by various kinds of transformations. Many works are proposed for robustdescription of video, which lead to satisfying ma...
Considerable progress has been made on hand-crafted features in object detection, while little effort has been devoted to make use of the color cues. In this paper, we study the role of color cues in ...
Identification of proteins and their modifications via liquidchromatography-tandem mass spectrometry is an important task for the field of proteomics. However, becauseof the complexity of tandem mass ...
With the rapid development of the World Wide Web, there are a huge number of fully or fragmentally duplicated pages in the Internet. Return of these near duplicated results to the users greatly affect...
Content-based video copy detection over large corpus withcomplex transformations is important but challenging. It isnot surprising that most existing methods fall short of eithersufficient robustness ...
This paper examines the detection of parameterized shapes in multidimensional noisy grayscale images. A novel shape detection algorithm utilizing random sample theory is presented. Although the method...
In this work, we present a novel method to detect violent shots in movies. The detection process is split into two views–––the audio and video views. From the audio-view, a weakly-supervised method is...

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