• Produktbild: Multimedia Data Mining and Analytics
  • Produktbild: Multimedia Data Mining and Analytics

Multimedia Data Mining and Analytics Disruptive Innovation

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

10.04.2015

Abbildungen

XIV, 188 illus., 153 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Aaron K. Baughman + weitere

Verlag

Springer

Seitenzahl

454

Maße (L/B/H)

24,1/16/3,1 cm

Gewicht

863 g

Auflage

2015

Sprache

Englisch

ISBN

978-3-319-14997-4

Beschreibung

Rezension

“Multimedia data mining and analytics: disruptive innovation highlights new applications in multimedia data mining, presenting fascinating techniques together with comprehensive cases in practice. … this book is valuable for the insight it provides related to the challenges faced by fast developing technologies, their current needs and future promise. It is a practical guide, a useful handbook for academies and industry practitioners who have interest in multimedia data analysis.” (Shanshan Qi, Information Technology & Tourism, Vol. 16, 2016)

Portrait

Aaron K. Baughman is a member of the Special Events Group at IBM (USA) for World Wide Sports. Previously, he was Technical Lead on a DeepQA Embed Research project that included an instance of the Jeopardy! Challenge.

Jiang (John) Gao is a Principal Scientist in the Advanced Development and Technology Group at Nokia USA, working on multimedia and mobile applications, data mining and computer vision.

Jia-Yu Pan is a software engineer at Google (USA), working on data mining and anomaly detection in big data.

Valery A. Petrushin is a Principal Scientist in the Research and Development Group at Opera Solutions (USA). His previous publications include the successful Springer title Multimedia Data Mining and Knowledge Discovery .

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

10.04.2015

Abbildungen

XIV, 188 illus., 153 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

454

Maße (L/B/H)

24,1/16/3,1 cm

Gewicht

863 g

Auflage

2015

Sprache

Englisch

ISBN

978-3-319-14997-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Multimedia Data Mining and Analytics
  • Produktbild: Multimedia Data Mining and Analytics
  • Part I: Introduction

    Disruptive Innovation: Large Scale Multimedia Data Mining

    Aaron K. Baughman, Jia-Yu Pan, Jiang Gao, and Valery A. Petrushin

    Part II: Mobile and Social Multimedia Data Exploration

    Sentiment Analysis Using Social Multimedia

    Jianbo Yuan, Quanzeng You, and Jiebo Luo

    Twitter as a Personalizable Information Service

    Mario Cataldi, Luigi Di Caro, and Claudio Schifanella

    Mining Popular Routes from Social Media

    Ling-Yin Wei, Yu Zheng, and Wen-Chih Peng

    Social Interactions over Location-Aware Multimedia Systems

    Yi Yu, Roger Zimmermann, and Suhua Tang

    In-house Multimedia Data Mining

    Christel Amato, Marc Yvon, and Wilfredo Ferré

    Content-based Privacy for Consumer-Produced Multimedia

    Gerald Friedland, Adam Janin, Howard Lei, Jaeyoung Choi, and Robin Sommer

    Part III: Biometric Multimedia Data Processing

    Large-scale Biometric Multimedia Processing

    Stefan van der Stockt, Aaron Baughman, and Michael Perlitz

    Detection of Demographics and Identity in Spontaneous Speech and Writing

    Aaron Lawson, Luciana Ferrer, Wen Wang, and John Murray

    Part IV: Multimedia Data Modeling, Search and Evaluation

    Evaluating Web Image Context Extraction

    Sadet Alcic and Stefan Conrad

    Content Based Image Search for Clothing Recommendations in E-Commerce

    Haoran Wang, Zhengzhong Zhou, Changcheng Xiao, and Liqing Zhang

    Video Retrieval based on Uncertain Concept Detection using Dempster-Shafer Theory

    Kimiaki Shirahama, Kenji Kumabuchi, Marcin Grzegorzek, and Kuniaki Uehara

    Multimodal Fusion: Combining Visual and Textual Cues for Concept Detection in Video

    Damianos Galanopoulos, Milan Dojchinovski, Krishna Chandramouli, Tomáš Kliegr, and Vasileios Mezaris

    Mining Videos for Features that Drive Attention

    Farhan Baluch and Laurent Itti

    Exposing Image Tampering with the Same Quantization Matrix

    Qingzhong Liu, Andrew H. Sung, Zhongxue Chen, and Lei Chen

    Part V: Algorithms for Multimedia Data Presentation, Processing and Visualization

    Fast Binary Embedding for High-Dimensional Data

    Felix X. Yu, Yunchao Gong, and Sanjiv Kumar

    Fast Approximate K-Means via Cluster Closures

    Jingdong Wang, Jing Wang, Qifa Ke, Gang Zeng, and Shipeng Li

    Fast Neighborhood Graph Search using Cartesian Concatenation

    Jingdong Wang, Jing Wang, Gang Zeng, Rui Gan, Shipeng Li, and Baining Guo

    Listen to the Sound of Data

    Mark Last and Anna Usyskin (Gorelik)