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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...
The widespread availability of audio editing software has made it very easy to create forgeries without perceptual trace. Copy-move is one of popular audio forgeries. It is very important to identify audio recording with duplicated segments. However, copy-move detection in digital audio with sample by sample comparison is invalid due to post-processing after forgeries. In this paper we present a method...
This paper presented a global exemplar-based image completion method for filling large missing or damaged regions in an image. Based on three proposed completion rules, the image completion problem is formulated as a global discrete optimization problem with a well-defined energy function. The energy function can evaluate image consistency globally and is minimized with an expectation-maximization...
In the infrared target detection, the size of structural element tend to be set as pre-determined size, when using the traditional morphological filter based on Top-Hat transform for suppressing the background of the digital infrared image. However, if the target size is unknown or keep changing in the successive frames, the fixed size of the structural element can not meet the detection requirement...
Analysis for existed pavement cracks extraction algorithm, pointing out the problems and deficiencies, a phase-grouping pavement cracks extraction method based on genetic algorithm was proposed. This method first used a genetic algorithm to determine the optimal threshold, which achieved the threshold of image segmentation; then adopted phase-grouping method to extract pavement cracks information...
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