Ju Guo

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Video object segmentation is an important component for object-based video coding schemes such as MPEG-4. A fast and robust video segmentation technique, which aims at ecient foreground and background separation via eeective combination of motion and color segmentation modules is proposed in this work. First, a non-parametric gradient-based iterative color(More)
A smart interactive video object generation (SIVOG) system is proposed in this work. SIVOG provides a semantic layer to interact with the user. It interprets user's input and chooses proper processing algorithms to extract the object. The proposed system is evaluated for several typical MPEG-4 test sequences. The quality of segmentation results and the(More)
A digital color image quality metric is proposed in this work based on the characteristics of the human visual system (HVS). Chromatic coordinates are transformed from spectral cone absorption responses to the opponent-color space. The sensitivity thresholds in each of the color space axes are measured and visual masking models are provided and(More)
OBJECTIVES To investigate the clinical and pathological features of metanephric adenoma (MA) and the clinical outcome after retroperitoneal laparoscopic nephron-sparing surgery. METHODS Six out of 183 partial nephrectomies performed during January 2009 to August 2014 were confirmed to be MA confirmed by postoperative pathological study. Perioperative(More)
A pixel-wise accurate and interactive video segmentation technique is proposed in this paper to generate a binary mask of moving objects optimized for MPEG-4 object-based video coding. The initial object mask is tracked temporally, and three regions are classified as background region, object region, and uncertain region where the pixel is within a certain(More)
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