نتایج جستجو برای: logo therapy

تعداد نتایج: 656677  

Journal: :CoRR 2016
N. Vinay Kumar Pratheek V. Vijaya Kantha K. N. Govindaraju D. S. Guru

In this paper, a logo classification system based on the appearance of logo images is proposed. The proposed classification system makes use of global characteristics of logo images for classification. Color, texture, and shape of a logo wholly describe the global characteristics of logo images. The various combinations of these characteristics are used for classification. The combination conta...

2018
Andras Tüzkö Christian Herrmann Daniel Manger Jürgen Beyerer

Current logo retrieval research focuses on closed set scenarios. We argue that the logo domain is too large for this strategy and requires an open set approach. To foster research in this direction, a large-scale logo dataset, called Logos in the Wild, is collected and released to the public. A typical open set logo retrieval application is, for example, assessing the effectiveness of advertise...

2015

Attachment Size Official DATE 2015 Logo (Pixel EPS in PDF) [1] 1.56 MB Official DATE 2015 Logo (Vector EPS in PDF) [2] 15.79 KB Official DATE 2015 Logo (Vector EPS in PDF, main vectors only) [3] 6.85 KB Official DATE 2015 Logo (PNG format) [4] 548.24 KB Official DATE 2015 Logo (PNG format; for dark backgrounds) [5] 523.64 KB Official DATE 2015 Logo (SVG format) [6] 52.51 KB DATE 2015 Banner-l.j...

Journal: :Public health nutrition 2011
Elisabeth H M Temme Hilko van der Voet Annet J C Roodenburg Astrid Bulder Gerda van Donkersgoed Jacob van Klaveren

OBJECTIVE Health logos are introduced to distinguish foods with 'healthier' nutrient composition from regular foods. In the present study, we evaluated the effects of changed food compositions according to health logo criteria on the intake of saturated fat, sugar and sodium in a Dutch population of young adults. DESIGN Foods in the Dutch food composition table were evaluated against nutrient...

Journal: :CoRR 2015
Forrest N. Iandola Anting Shen Peter Gao Kurt Keutzer

Recently, there has been a flurry of industrial activity around logo recognition, such as Ditto’s service for marketers to track their brands in user-generated images, and LogoGrab’s mobile app platform for logo recognition. However, relatively little academic or open-source logo recognition progress has been made in the last four years. Meanwhile, deep convolutional neural networks (DCNNs) hav...

2000
Evgenia Sendova Ivailo Ivanov

The paper deals with the educational strategy applied when designing a Logo Core as a part of a course on Logo for teachers, developed in the frames of the European NETLogo Initiative. The idea behind the Logo Core is to enable teachers to lift the hood of the Logo applications to see how they work and hopefully become themselves developers with Logo. Integrating some well known educational pri...

Journal: :Journal of health communication 2009
Ellis L Vyth Ingrid H M Steenhuis Sanne F Mallant Zinzi L Mol Johannes Brug Marcel Temminghoff Gerda I Feunekes Leon Jansen Hans Verhagen Jacob C Seidell

This study aimed to perform a quantitative and qualitative process evaluation of the introduction of the Choices logo, a front-of-pack nutrition logo on products with a favorable product composition, adopted by many food producers, retail and food service organizations, conditionally endorsed by the Dutch government, validated by scientists, and in the process of international dissemination. An...

2015

Attachment Size Official DATE 2015 Logo (Pixel EPS in PDF) [1] 1.56 MB Official DATE 2015 Logo (Vector EPS in PDF) [2] 15.79 KB Official DATE 2015 Logo (Vector EPS in PDF, main vectors only) [3] 6.85 KB Official DATE 2015 Logo (PNG format) [4] 548.24 KB Official DATE 2015 Logo (PNG format; for dark backgrounds) [5] 523.64 KB Official DATE 2015 Logo (SVG format) [6] 52.51 KB DATE 2015 Banner-l.j...

2015

Attachment Size Offic ial DATE 2015 Logo (Pixel EPS in PDF) [1] 1.56 MB Offic ial DATE 2015 Logo (Vector EPS in PDF) [2] 15.79 KB Offic ial DATE 2015 Logo (Vector EPS in PDF, main vectors only) [3] 6.85 KB Offic ial DATE 2015 Logo (PNG format) [4] 548.24 KB Offic ial DATE 2015 Logo (PNG format; for dark backgrounds) [5] 523.64 KB Offic ial DATE 2015 Logo (SVG format) [6] 52.51 KB DATE 2015 Bann...

2015
Dong-Kyu Lee Jino Lee Jaeyoon Kim Ji Won Lee Rae-Hong Park

In this paper, we propose an algorithm that automatically detects and removes moving logos in video. The proposed algorithm consists of logo detection, tracking and extraction, and removal. In the logo detection step, we automatically detect moving logos using the saliency map and the scale invariant feature transform. In the logo tracking and extraction step, an improved mean shift tracking me...

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