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Robust Semi-Automatic Depth Map Generation in Unconstrained Images and Video Sequences for 2D to Stereoscopic 3D Conversion
We describe a system for robustly estimating synthetic depth maps in unconstrained images and videos, for semi-automatic conversion into stereoscopic 3D. Currently, this process is automatic or doneExpand
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Content-based retrieval of logo and trademarks in unconstrained color image databases using Color Edge Gradient Co-occurrence Histograms
In this paper, we present an algorithm that extends the Color Edge Co-occurrence Histogram (CECH) object detection scheme on compound color objects, for the retrieval of logos and trademarks inExpand
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Semi-automatic synthetic depth map generation for video using random walks
We present a method for easily generating depth maps from monoscopic (i.e. “2D”) video footage in order to convert them into stereoscopic, or “3D”, footage. Our method uses user-defined strokes for aExpand
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Semi-automatic 2D to 3D image conversion using a hybrid Random Walks and graph cuts based approach
In this paper, we present a semi-automated method for converting conventional 2D images to stereoscopic 3D. User-defined strokes that correspond to a rough estimate of the depth values in the sceneExpand
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Semi-automatic 2D to 3D image conversion using scale-space Random Walks and a graph cuts based depth prior
In this paper, we present a semi-automated method for converting conventional 2D images into stereoscopic 3D. User-defined strokes corresponding to a rough estimate of the depth values in the sceneExpand
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Unconstrained logo and trademark retrieval in general color image databases using Color Edge Gradient Co-occurrence Histograms
In this paper, we present a logo and trademark retrieval system for general, unconstrained, color image databases, extending the color edge co-occurrence histogram (CECH) object detection scheme. WeExpand
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Depth estimation for semi-automatic 2D to 3D conversion
The conversion of monoscopic footage into stereoscopic or multiview content is a difficult and time consuming task. A number of semi-automatic methods have been developed to speed up the process andExpand
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COntent-based unconstrained logo and trademark retrieval in color image databases with Color Edge Gradient Co-occurrence Histograms
In this paper, we present a logo and trademark retrieval system for general, unconstrained, color image databases, extending the Color Edge Co-occurrence Histogram (CECH) object detection scheme. WeExpand
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Adaptive 2D to 3D image conversion using a hybrid Graph Cuts and Random Walks approach
In this paper, we propose an adaptive method for 2D to 3D conversion of images using a user-aided process based on Graph Cuts and Random Walks. Given user-defined labeling that correspond to a roughExpand
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Interactive video GrowCut: A semi-automated video object segmentation framework using cellular automata
This paper illustrates a simple, yet effective semi-automated object segmentation framework over video sequences. This is through an extension of the GrowCut framework, an image segmentation schemeExpand
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