Search results for "Segmentation"

Acceptability of partially dealcoholized wines - Measuring the impact of sensory and information cues on overall liking in real-life settings

2009

International audience; In this study, the effect of partial alcohol reduction in wine on consumer expectation and overall liking was investigated in real-life settings (by a Home-Use-Test). By varying the wine in the bottle and by manipulating the information on the label, it was possible to assess the relative impact of sensory properties and information cues on overall liking. Standard Chardonnay and Syrah wines were partially dealcoholized from about 13.5% to about 9.5%. After bottling, these dealcoholized wines were presented once with information about real alcohol content (9.5%) and once with false information about alcohol content (13.5%). A third bottle with standard wine inside wa…

A hardware skin-segmentation IP for vision based smart ADAS through an FPGA prototyping

2017

International audience; In this paper we presents a platform based design approach for fast HW/SW embedded smart Advanced Driver Assistant System (ADAS) design and prototyping. Then, we share our experience in designing and prototyping a HW/SW vision based smart embedded system as an ADAS that helps to increase the safety of car's drivers. We present a physical prototype of the vision ADAS based on a Zynq FPGA. The system detects the fatigue state of the driver by monitoring the eyes closure and generates a real-time alert. A new HW/SW codesign skin segmentation step to locate the eyes/face is proposed. Our presented new approach migrates the skin segmentation step from processing system (S…

Statistical Picking of Multivariate Waveforms

2022

In this paper, we propose a new approach based on the fitting of a generalized linear regression model in order to detect points of change in the variance of a multivariate-covariance Gaussian variable, where the variance function is piecewise constant. By applying this new approach to multivariate waveforms, our method provides simultaneous detection of change points in functional time series. The proposed approach can be used as a new picking algorithm in order to automatically identify the arrival times of P- and S-waves in different seismograms that are recording the same seismic event. A seismogram is a record of ground motion at a measuring station as a function of time, and it typica…

Implementation and evaluation of medical imaging techniques based on conformal geometric algebra

2020

Medical imaging tasks, such as segmentation, 3D modeling, and registration of medical images, involve complex geometric problems, usually solved by standard linear algebra and matrix calculations. In the last few decades, conformal geometric algebra (CGA) has emerged as a new approach to geometric computing that offers a simple and efficient representation of geometric objects and transformations. However, the practical use of CGA-based methods for big data image processing in medical imaging requires fast and efficient implementations of CGA operations to meet both real-time processing constraints and accuracy requirements. The purpose of this study is to present a novel implementation of …

Approximation of pore space with ellipsoids: a comparison of a geometrical method with a statistical one.

2018

International audience; We work with tomographic images of pore space in soil. The images have large dimensions and so in order to speed-up biological simulations (as drainage or diffusion process in soil), we want to describe the pore space with a number of geometrical primitives significantly smaller than the number of voxels in pore space. In this paper, we use the curve skeleton of a volume to segment it into some regions. We describe the method to compute the curve skeleton and to segment it with a simple segment approximation. We approximate each obtained region with an ellipsoid. The set of final ellipsoids represents the geometry of pore space and will be used in future simulations.…

How can algorithms help in segmenting users and customers? : A systematic review and research agenda for algorithmic customer segmentation

2023

What algorithm to choose for customer segmentation? Should you use one algorithm or many? How many customer segments should you create? How to evaluate the results? In this research, we carry out a systematic literature review to address such central questions in customer segmentation research and practice. The results from extracting information from 172 relevant articles show that algorithmic customer segmentation is the predominant approach for customer segmentation. We found researchers employing 46 different algorithms and 14 different evaluation metrics. For the algorithms, K-means clustering is the most employed. For the metrics, separation-focused metrics are slightly more prevalent…

Extracting (good) discourse examples from an oral specialised corpus of wine tasting interactions

2015

International audience; This article outlines the semi-automated extraction of dictionary examples used in the compilation of a professional online dictionary of wine tasting. Named OenoLex Bourgogne, this dictionary was started to respond to the demand for a lexicographic information tool from the French wine industry of Burgundy, the Bureau Interprofessionnel des Vins de Bourgogne.

<title>Multifeature image and video content-based storage and retrieval</title>

1996

In this paper we present most recent evolution of JACOB, a system we developed for image and video content-based storage and retrieval. The system is based on two separate archives: a 'features DB' and a 'raw-data DB'. When a user puts a query, a search is done in the 'features DB'; the selected items are taken form the 'raw-data DB' and shown to the user. Two kinds of sessions are allowed: 'database population' and 'database querying'. During a 'database population' session the user inserts new data into the archive. The input data can consist of digital images or videos. Videos are split into shots and for each shot one or more representative frames are automatically extracted. Shots and …

Algorithms and software for biological multiscale image analysis

2013

The use of mobile technology for online shopping and entertainment among older adults in Finland

2017

Older adults use mobile devices for online shopping as often as younger adults.Mobile-based entertainment use is most typical for younger male adults.Older female adults use mobile-based entertainment least frequently.Age, household structure and high education predict mobile-based online shopping.Mobile-based entertainment use is best predicted by age and gender. Older adults are becoming an important market segment for all internet-based services, but few studies to date have considered older adults as online shoppers and users of entertainment media. Utilising the concept of life course, this article investigates the use of mobile technologies for online shopping and entertainment among …