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001 978-3-319-12811-5
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020 _a9783319128115
_9978-3-319-12811-5
024 7 _a10.1007/978-3-319-12811-5
_2doi
050 4 _aTA1637-1638
050 4 _aTA1634
072 7 _aUYT
_2bicssc
072 7 _aUYQV
_2bicssc
072 7 _aCOM012000
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_2bisacsh
082 0 4 _a006.6
_223
082 0 4 _a006.37
_223
245 1 0 _aVideo Analytics for Audience Measurement
_h[electronic resource] :
_bFirst International Workshop, VAAM 2014, Stockholm, Sweden, August 24, 2014. Revised Selected Papers /
_cedited by Cosimo Distante, Sebastiano Battiato, Andrea Cavallaro.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aX, 159 p. 67 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v8811
505 0 _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.
520 _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.
650 0 _aComputer science.
650 0 _aAlgorithms.
650 0 _aArtificial intelligence.
650 0 _aComputer graphics.
650 0 _aImage processing.
650 0 _aPattern recognition.
650 1 4 _aComputer Science.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aPattern Recognition.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aComputer Graphics.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aAlgorithm Analysis and Problem Complexity.
700 1 _aDistante, Cosimo.
_eeditor.
700 1 _aBattiato, Sebastiano.
_eeditor.
700 1 _aCavallaro, Andrea.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319128108
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v8811
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-12811-5
912 _aZDB-2-SCS
912 _aZDB-2-LNC
942 _cEBK
999 _c52578
_d52578