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ER-to-Golgi transport in yeast may be reproduced in vitro with washed membranes, purified proteins (COPII, Uso1p and LMA1) and energy. COPII coated vesicles that have budded from the ER are freely diffusible but then dock to Golgi membranes upon the addition of Uso1p. LMA1 and Sec18p are required for vesicle fusion after Uso1p function. Here, we report that(More)
Co-saliency is used to discover the common saliency on the multiple images, which is a relatively underexplored area. In this paper, we introduce a new cluster-based algorithm for co-saliency detection. Global correspondence between the multiple images is implicitly learned during the clustering process. Three visual attention cues: contrast, spatial, and(More)
Foreground detection plays a core role in a wide spectrum of applications such as tracking and behavior analysis. It, especially for videos captured by fixed cameras, can be posed as a component decomposition problem, the background of which is typically assumed to lie in a low dimensional subspace. However, in real world cases, dynamic backgrounds like(More)
Traffic through the yeast Golgi complex depends on a member of the syntaxin family of SNARE proteins, Sed5p, present in early Golgi cisternae. Sft2p is a non-essential tetra-spanning membrane protein, found mostly in the late Golgi, that can suppress some sed5 alleles. We screened for mutations that show synthetic lethality with sft2 and found one that(More)
Soluble NSF attachment protein receptor (SNARE) proteins are essential for membrane fusion in transport between the yeast ER and Golgi compartments. Subcellular fractionation experiments demonstrate that the ER/Golgi SNAREs Bos1p, Sec22p, Bet1p, Sed5p, and the Rab protein, Ypt1p, are distributed similarly but localize primarily with Golgi membranes. All of(More)
In this paper, we introduce a novel Flip INvariant Descriptor (FIND). FIND improves the degenerated performance resulted from image flips and reduces both space and time costs. Flip invariance of FIND enables the intractable flip detection to be achieved easily, instead of duplicately implementing the procedure. To alleviate the pressure brought by the(More)
Moving object detection is one of the most fundamental tasks in computer vision. Many classic and contemporary algorithms work well under the assumption that backgrounds are stationary and movements are continuous, but degrade sharply when they are used in a real detection system, mainly due to: 1) the dynamic background (e.g., swaying trees, water ripples(More)
SEC35 was identified in a novel screen for temperature-sensitive mutants in the secretory pathway of the yeast Saccharomyces cerevisiae (. Genetics. 142:393-406). At the restrictive temperature, the sec35-1 strain exhibits a transport block between the ER and the Golgi apparatus and accumulates numerous vesicles. SEC35 encodes a novel cytosolic protein of(More)
Image compositing technology has become popular for tampering with digital photographies. We describe how such composites can be detected by enforcing the geometric and photometric constraints from shadows. In particular, we explore (i) the imaged shadow relations that are modeled by the planar homology, and (ii) the color characteristics of the shadows(More)
In this paper, we propose a framework for detecting tampered digital images based on photometric consistency of illumination in shadows. In particular, we formulate color characteristics of shadows measured by the shadow matte value. The shadow boundaries and the penumbra shadow region in an image are first extracted. Then a simple and efficient method is(More)