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The Use of Color in Highlight Identification
1987
International Joint Conference on Artificial Intelligence
This paper presents a method for identifying highlights in images through the use of chromatic information. ...
An existing model of reflectance is shown to predict that a highlight will usually involve a gradual additive color shift from the color of the object to the color of the illuminant. ...
about the expected color of highlights in the scene. ...
dblp:conf/ijcai/GershonJT87
fatcat:bi5etfadofgkvn2fu4llwi4vum
The Auxin Response Factor Transcription Factor Family in Soybean: Genome-Wide Identification and Expression Analyses During Development and Water Stress
2013
DNA Research
Sequence alignment of soybean ARFs (GmARFs, black colored letters) and Arabidopsis ARFs (AtARF, blue colored letters). ...
The GmARFs are classified into 6 groups based on their structure ( Figure 1C ) and indicated by text highlight color. ...
Expression patterns of the GmARF genes in droughtstressed V6, R2 soybean leaves were analyzed using 66 K Affymetrix Soybean Array data. ...
doi:10.1093/dnares/dst027
pmid:23810914
pmcid:PMC3789561
fatcat:ocmwnimlibbbvmjuwrzlssu3h4
Automatic Annotation of Sport Video Content
[chapter]
2005
Lecture Notes in Computer Science
Highlight detection is carried out by means of finite state machines that encode domain knowledge, while player identification is based on face detection, and on the analysis of contextual information ...
Results obtained on actual soccer videos shows overall highlight detection rates of about 90%. Lower, but still promising, accuracy is achieved on the very difficult player identification task. ...
Acknowledgments This work has been partially funded by the European VI FP, Network of Excellence DELOS (2004-06). ...
doi:10.1007/11578079_109
fatcat:pxfugfrtlrbevotecciavnjgua
Model for identification of correct positioning of parts in a pick and place system
2019
Revista de tecnología e innovación
In the second stage, a method of extracting personalized features in a color recognition approach is used. ...
This article investigates the use of automatic learning classification techniques applied to the task of recognizing the correct shape and color of pieces in a connector using neural networks. ...
the pin where the pieces of interest are placed, in this case the color of the pin highlights in white and the rest remains in black. ...
doi:10.35429/jti.2019.18.6.1.4
fatcat:zl4xy2k375bvfaarawutopukfi
A Groupware for Pigment Identification in Cultural Heritage
2009
International Journal of Virtual Reality
As a practical case study we have chosen the pigment identification problem in artworks and included in the groupware an automated procedure for selecting investigation areas and for matching unknown pigments ...
This is due to the need for the unique expertise of human operators but also to the lack of adequate digital support. ...
A GROUPWARE FOR PIGMENT IDENTIFICATION We present the design and technical analysis of a new integrated system aimed at supporting investigators in pigment identification in artworks through false-color ...
doi:10.20870/ijvr.2009.8.3.2742
fatcat:4echb5a3azbyjiiob3mhrzlp34
Identification of Relevant Images from Ancient Paintings using Statistical Distribution
2018
Indian Journal of Science and Technology
This model can be very much useful for the archeologists to identify the ancient paintings. ...
Methods/Statistical Analysis: Conservative Chinese paintings emulate the exquisiteness of Chinese sculpture. Most of these descriptions are digitized and are available in the internet. ...
The current literature in the field of image classification and identification of images is presented in this section, highlighted about the significance of the attribute descriptors together with their ...
doi:10.17485/ijst/2018/v11i17/117688
fatcat:v5csi7xrs5eg7aqyzfuaa5zacu
CHALLENGES IN AUTOMATIC EMOTION RECOGNITION PROCESS
2018
International Journal of Advanced Research in Computer Science
The main challenges in this area are: different color complexion of persons over different regions of the globe, facial accessories, pose variations etc. ...
This paper shows the overall process of automatic recognition of emotions and highlight key issues or challenges in this fields. At the end a system is proposed to overcome these issues. ...
Skin color identification based on certain skin threshold helps in this basic identification process. ...
doi:10.26483/ijarcs.v9i3.6035
fatcat:dtypjligrfeu3g6dhcopoustk4
Page 89 of American Anthropologist Vol. 110, Issue 1
[page]
2008
American Anthropologist
As an outcome of this empirical approach to the use of color language, several themes recur through the volume. ...
Overall, the book provides a good overview of the history of applied casework in Eu- rope and highlights important areas for continued research. ...
Pedestrian Color Naming via Convolutional Neural Network
[chapter]
2017
Lecture Notes in Computer Science
In addition, we show the effectiveness of color descriptor extracted from PCN-CNN in complementing existing descriptors for the task of person re-identification. ...
This is especially true for the challenging problem of pedestrian description in public spaces. ...
Acknowledgement We would like to show our gratitude to the authors of [9] , for sharing their features and codes of matching procedure for the person re-identification experiments. ...
doi:10.1007/978-3-319-54184-6_3
fatcat:mln7m4vho5eihleaooctsoqrce
Multi-Color Electron Microscopy by Element-Guided Identification of Cells, Organelles, and Molecules
2017
Microscopy and Microanalysis
The use of superresolution fluorescence microscopy techniques combined with CLEM[2,3] holds great promise but may be hard to achieve and the color palette limited. ...
We are exploring novel approaches to achieve color-EM using the electron beam to add information about the specimen to the electron micrographs. ...
This allows identification of different granules: note the small purple and yellow granules, as well as the big red granule, all present in the same cell. Scalebar: 2 µm. ...
doi:10.1017/s1431927617007164
fatcat:zl4bxl5jnzavdbltqpx5yq5wia
GEOSPATIAL IDENTIFICATION OF ALGAL BLOOMS IN INLAND WATERS: A POST CYCLONE CASE STUDY OF CHILIKA LAKE, ODISHA, INDIA
2017
RASAYAN Journal of Chemistry
This study focuses on identification of algal blooms in inland waters and hence Chilika Lake of Odisha, India is considered as the study area. ...
In October 2013, the ecosystem of the lake was affected by a severe cyclone named, "Phailin" leading to increased runoff resulting in the formation of algal blooms. ...
False Color Composite (FCC) of the satellite image was generated to highlight vegetation and water body in the study area using a combination of Band 6, 5 and 4. ...
doi:10.7324/rjc.2017.1011585
fatcat:y5ybdpztavht7hzgn7lfs2pdnu
Real-time, label-free, intraoperative visualization of peripheral nerves and micro-vasculatures using multimodal optical imaging techniques
2018
Biomedical Optics Express
Accurate, real-time identification and display of critical anatomic structures, such as the nerve and vasculature structures, are critical for reducing complications and improving surgical outcomes. ...
Vascular structures, both venous and arterial, are identified and monitored in real-time using a near-infrared laser-speckle-contrast imaging. ...
Disclosures The authors declare that there are no conflicts of interest related to this article. ...
doi:10.1364/boe.9.001097
pmid:29541506
pmcid:PMC5846516
fatcat:d6rpzyzdejgcbg6dxbqkw5gy6y
An Algorithm for Highlights Identification and Summarization of Broadcast Soccer Videos
[chapter]
2012
Lecture Notes in Computer Science
The movement of the TV cameras are approximated using the movement of all the players in the image. A motion field is computed over the image in order to analyze aspects of the match. ...
This paper presents an algorithm that aims to perform automatic summarization in broadcast soccer videos. The summarization considers identifying and keeping only the highlights of the match. ...
Identification of the Players In long shots of a soccer broadcast the prevailing color is the green color of the grass. ...
doi:10.1007/978-3-642-33275-3_106
fatcat:3znexfjqxvbrpczqmj4kfh5vk4
Identification of Plant Leaf Disease using Machine Learning Techniques
2019
International journal of recent technology and engineering
Identification of the diseases in any crops is challenging since manual identification techniques being used in this are based on the experts advises which may not be efficient. ...
Based on leaf features decisions about variety of diseases are taken. In this paper an automated framework is introduced which can be used to detect and classify the diseases in the leaf accurately. ...
Then using region growing method diseased portion is highlighted. In this CIELAB color space is used and SIFT is used for feature extraction. ...
doi:10.35940/ijrte.c5621.098319
fatcat:bh4yom3tlrforkury5mnnj64iq
Quantitative identification of teratoma tissues formed by human embryonic stem cells with TeratomEye
2009
Biotechnology Letters
TeratomEye is therefore useful for the automated identification of differentiated tissues in teratoma sections. ...
An automated vision system, Teratom-Eye, was developed for the identification of three representative tissue types: muscle, gut and neural epithelia which are commonly found in teratomas formed from human ...
Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided ...
doi:10.1007/s10529-009-9928-1
pmid:19169887
fatcat:hcg5zefgvrgsnk242xmxl5vt34
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