Multimedia Data Mining and Analytics, Softcover reprint of the original 1st ed. 2015 Disruptive Innovation

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)

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.

Presents cutting-edge multimedia data mining research, including mobile multimedia

Provides novel insights into the progression of the field, following the theme of disruptive innovation

Bridges complex research and practice by exploring open source software, libraries and algorithms

Includes supplementary material: sn.pub/extras