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You searched on: Topic Area: Imaging Sorted by: date

Displaying records 1 to 10 of 55 records.
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1. TRECVid Semantic Indexing of Video: A 6-Year Retrospective
Topic: Imaging
Published: 7/1/2016
Authors: George Morad Awad, Cees Snoek, Alan Smeaton, Georges Quenot
Abstract: Semantic indexing, or assigning semantic tags to video samples, is a key component for content-based access to video documents and collections. The Semantic Indexing task has been run at TRECVid from 2010 to 2015 with the support of NIST and the Quae ...

2. Shape Retrieval of Non-Rigid 3D Human Models
Topic: Imaging
Published: 4/26/2016
Authors: Afzal A Godil, David Pickup
Abstract: 3D models of humans are commonly used within computer graphics and vision, and so the ability to distinguish between body shapes is an important shape retrieval problem. We extend our recent paper which provided a benchmark for testing non-rigid ...

3. 3D Segmentation of Stem Cells from Thousands of Confocal Microscopy Images
Topic: Imaging
Published: 3/1/2016
Authors: Peter Bajcsy, Mylene Henriqueta Monique Simon, Stephen J Florczyk, Carl George Simon Jr., Derek Juba, Mary C Brady
Abstract: We address the problem of estimating 3D segmentation performance when segmentation is applied to thousands of confocal microscopy images (z-stacks) of cells. With a very large number of z-stacks, manual inputs to validate each segmentation result are ...

4. Survey Statistics of Automated Segmentations Applied to Optical Imaging of Mammalian Cells
Topic: Imaging
Published: 1/8/2016
Authors: Peter Bajcsy, Antonio Cardone, Joe Chalfoun, Michael W Halter, Derek Juba, Marcin Kociolek, Michael P Majurski, Adele P Peskin, Carl George Simon Jr., Mylene Henriqueta Monique Simon, Antoine Vandecreme, Anne L Plant, Mary C Brady
Abstract: The goal of this survey paper is to overview cellular measurements using optical microscopy imaging followed by automated image segmentation. The cellular measurements of primary interest are taken from mammalian cells and their components. They are ...

5. An Effective Video Synopsis Approach with Seam Carving
Topic: Imaging
Published: 1/1/2016
Author: Hamid Gharavi
Abstract: With a growth of surveillance cameras, the amount of captured videos expands. Manually analyzing and retrieving surveillance video is labor intensive and expensive. It would be much more convenient to generate a video digest, with which we can vi ...

6. Deep-subwavelength Nanometric Image Reconstruction using Fourier Domain Optical Normalization
Topic: Imaging
Published: 11/5/2015
Authors: Jing Qin, Richard M Silver, Bryan M Barnes, Hui Zhou, Ronald G Dixson, Mark Alexander Henn
Abstract: Quantitative optical measurements of deep sub-wavelength, three-dimensional, nanometric structures with sensitivity to sub-nanometer details address an ubiquitous measurement challenge. A Fourier domain normalization approach is used in the Fourier ...

7. Retrieval and classification methods for textured 3D models: A comparative study
Topic: Imaging
Published: 8/25/2015
Author: Afzal A Godil
Abstract: This paper presents a comparative study of six methods for the retrieval and classification of tex- tured 3D models, which have been selected as represen- tative of the state of the start and evaluated through 17 runs. To better analyse and control ...

Topic: Imaging
Published: 7/14/2015
Author: Hamid Gharavi
Abstract: This paper presents an effective and simple image resizing method. Our method is an improved version of seam carving that changes the backtracking basis of seam carving. We use a Scale Invariant Feature Transform (SIFT) feature in our method. SIFT k ...

Topic: Imaging
Published: 6/29/2015
Author: Hamid Gharavi
Abstract: Image retargeting attempts to adapt images to different devices while preserving the salient contents. Most existing methods address retargeting of a single image. In this paper, we propose a novel image retargeting method for resizing a pair of ster ...

10. SHREC'15: Range Scans based 3D Shape Retrieval
Topic: Imaging
Published: 5/3/2015
Author: Afzal A Godil
Abstract: The objective of the SHREC'15 Range Scans based 3D Shape Retrieval track is to evaluate algorithms that match range scans of real objects to complete 3D mesh models in a target dataset. The task is to retrieve a rank list of complete 3D models that ...

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