LEADER 05149nam 22008535 450 001 996213646603316 005 20201109121118.0 010 $a3-319-12811-6 024 7 $a10.1007/978-3-319-12811-5 035 $a(CKB)3710000000269714 035 $a(SSID)ssj0001372830 035 $a(PQKBManifestationID)11978697 035 $a(PQKBTitleCode)TC0001372830 035 $a(PQKBWorkID)11313061 035 $a(PQKB)11441240 035 $a(DE-He213)978-3-319-12811-5 035 $a(MiAaPQ)EBC6281000 035 $a(MiAaPQ)EBC5576971 035 $a(Au-PeEL)EBL5576971 035 $a(OCoLC)896719870 035 $a(PPN)182098036 035 $a(EXLCZ)993710000000269714 100 $a20141029d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aVideo Analytics for Audience Measurement$b[electronic resource] $eFirst International Workshop, VAAM 2014, Stockholm, Sweden, August 24, 2014. Revised Selected Papers /$fedited by Cosimo Distante, Sebastiano Battiato, Andrea Cavallaro 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (X, 159 p. 67 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v8811 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-12810-8 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- The Applications of Video Analytics in Media Planning, Trade and Shopper Marketing -- Demographics -- Pervasive Retail Strategy using a Low-Cost Free Gaze Estimation System -- Face Re-Identification for Digital Signage Applications -- Evaluation of LBP and HOG Descriptors for Clothing Attribute Description -- Features descriptors for demographic estimation: a comparative study -- Comparison of Facial Alignment Techniques: with Test Results on Gender Detection Task -- Multi-view Face Detection with One Classifier for Video Analytics Systems -- Part 3 Modelling Consumer Behavior -- Online Audience Measurement System based on Machine Learning Techniques -- Modelling In-Store Consumer Behavior using Machine Learning and Digital Signage Audience Measurement Data -- Shopper Behavior Analysis Based on 3D Situation Awareness Information -- Shopper Analytics: a customer activity recognition system using a distributed RGB-D camera network. 330 $aThis book constitutes the refereed contest reports of the 1st International Workshop, VAAM 2014, held in Stockholm, Sweden, in August 2014. The 10 revised full papers presented were carefully reviewed and selected from 13 submissions. The aim of this workshop is to provide an overview of state of the art methods for audience measurements in retail and Digital Signage, end-users attraction, and stimulate the creation of appropriate benchmark dataset to be used as reference for the development of novel audience measurement algorithms. Papers are invited under the following topics: demographics and modeling consumer behaviour. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v8811 606 $aOptical data processing 606 $aPattern recognition 606 $aArtificial intelligence 606 $aComputer graphics 606 $aApplication software 606 $aAlgorithms 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 615 0$aOptical data processing. 615 0$aPattern recognition. 615 0$aArtificial intelligence. 615 0$aComputer graphics. 615 0$aApplication software. 615 0$aAlgorithms. 615 14$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 615 24$aArtificial Intelligence. 615 24$aComputer Graphics. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aAlgorithm Analysis and Problem Complexity. 676 $a006.42 702 $aDistante$b Cosimo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBattiato$b Sebastiano$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCavallaro$b Andrea$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996213646603316 996 $aVideo Analytics for Audience Measurement$92831916 997 $aUNISA LEADER 03863nam 22005175 450 001 9910254160203321 005 20200630233404.0 010 $a3-319-54102-1 024 7 $a10.1007/978-3-319-54102-0 035 $a(CKB)3710000001364460 035 $a(DE-He213)978-3-319-54102-0 035 $a(MiAaPQ)EBC4858362 035 $a(PPN)201474395 035 $a(EXLCZ)993710000001364460 100 $a20170513d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnti-diabetes and Anti-obesity Medicinal Plants and Phytochemicals $eSafety, Efficacy, and Action Mechanisms /$fby Bashar Saad, Hilal Zaid, Siba Shanak, Sleman Kadan 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XIV, 257 p. 55 illus., 53 illus. in color.) 311 $a3-319-54101-3 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aIntroduction to Diabetes and Obesity -- Introduction to Medicinal plant Safety and Efficacy -- Anti-Diabetic medicinal plants -- Anti-obesity medicinal plants -- Action mechanism of anti-diabetic medicinal plants -- Action mechanism of anti-obesity medicinal plants -- Anti-diabetic phytogenic natural products -- Anti-obesity phytogenic natural products -- Future trends of anti-diabetic andante-obesity medicinal plants. 330 $aThis work presents a systematic review of traditional herbal medicine and their active compounds, as well as their mechanism of action in the prevention and treatment of diabetes and obesity. The side effects and safety of herbal-derived anti-diabetic and anti-obesity phytochemicals are detailed in depth, and the text has a strong focus on current and future trends in anti-diabetic medicinal plants. This unique and comprehensive text is the only current book on the market focusing exclusively on medicinal plants used to combat obesity and diabetes. An introductory chapter focuses on diabetes and obesity and introduces the major causes and main treatments of this increasing epidemic in modern society. Readers are then introduced to medicinal plants, including details on their therapeutic aspects, plus side effects and safety. Following chapters focus on anti-diabetic and anti-obesity medicinal plants, as well as phytogenic natural products in the treatment of each. The text closes by focusing on present and future trends and challenges in these medicinal plants. Anti-diabetes and Anti-obesity Medicinal Plants and Phytochemicals: Safety, Efficacy, and Action Mechanisms is a much-needed and truly original work, finally presenting in one place all the necessary information on medicinal plants used in conjunction with obesity and diabetes prevention. 606 $aFood?Biotechnology 606 $aPharmaceutical technology 606 $aFood Science$3https://scigraph.springernature.com/ontologies/product-market-codes/C15001 606 $aPharmaceutical Sciences/Technology$3https://scigraph.springernature.com/ontologies/product-market-codes/B21010 615 0$aFood?Biotechnology. 615 0$aPharmaceutical technology. 615 14$aFood Science. 615 24$aPharmaceutical Sciences/Technology. 676 $a641.3 676 $a664 700 $aSaad$b Bashar$4aut$4http://id.loc.gov/vocabulary/relators/aut$0856877 702 $aZaid$b Hilal$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aShanak$b Siba$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aKadan$b Sleman$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910254160203321 996 $aAnti-diabetes and Anti-obesity Medicinal Plants and Phytochemicals$92022624 997 $aUNINA