The 3rd ACM International Workshop on Interactive Multimedia on Mobile and Portable Devices (IMMPD2013)
In Conjunction with ACM Multimedia 2013, Barcelona, Spain
Title: Insights from Big Data: Interaction, Design, and Innovation
Alejandro (Alex) Jaimes
In recent years, our ability to process large amounts of data has increased significantly, creating many opportunities for innovation. Having large quantities of data, however, does not necessarily turn into actionable insights that make a difference for users in consumer applications. In this talk I will give a quick overview of some ways in which “big data” can be used in industry, with a particular focus on Human-Centered approaches to innovation. In particular, I will discuss how the combination of qualitative and quantitative methods can be of benefit, giving examples around social media and giving an overview of some of the areas of research I am currently focusing on at Yahoo!. Within this context, I will outline a blueprint for a research framework as it applies to innovation, and discuss specific technical approaches within that framework. I will argue on the importance of taking a human-centered view and highlight what I consider the most fundamental problems in computer science today from that perspective.
Dr. Alejandro (Alex) Jaimes is Director of Research at Yahoo! where he is in charge of the Social Media Engagement (SOMER) and Learning for Multimedia and Vision (LMV) groups in Barcelona and Bangalore. In the Spring of 2013 he was a visiting Professor at KAIST’s (South Korea) Web Science Department under the WCU program. His research focuses on Human-Centered Computing, particularly in the areas of social media and Multimedia. The output of his teams’ research has been included in several products at Yahoo! and he led the launch of Yahoo! Clues, a product created in 2010. Dr. Jaimes is general chair of ACM Multimedia 2013, Developers Track Chair for WWW 2014, Practice and Experience track chair for WWW 2013, the founder of the ACM Multimedia Interactive Art program, and Industry Track chair for ACM RecSys 2010 and UMAP 2013, among others. His work has led to over 80 technical publications in international conferences and journals. He has been an invited speaker at the Big Data & Analytics Innovation Summit (2013), Practitioner Web Analytics (2010), CIVR 2010, ECML-PKDD 2010 and KDD 2009 and (Industry tracks), ACM Recommender Systems 2008 (panel), DAGM 2008 (keynote), and several others. Before joining Yahoo! Dr. Jaimes was a visiting professor at U. Carlos III in Madrid and founded and managed the User Modeling and Data Mining group at Telefónica Research. Prior to that Dr. Jaimes was Scientific Manager at IDIAP-EPFL (Switzerland), and was previously at Fuji Xerox (Japan), IBM TJ Watson (USA), IBM Tokyo Research Laboratory (Japan), Siemens Corporate Research (USA), and AT&T Bell Laboratories (USA). Dr. Jaimes received a Ph.D. in Electrical Engineering (2003) and a M.S. in Computer Science from Columbia U. (1997) in NYC.
14:30-14:40 Opening Remarks
14:40-15:30 Keynote Address
Insights from Big Data: Interaction, Design, and Innovation
15:30-16:30 Oral Session 1
Convex Object Surface Mapping for Wide Field of View Video Representation
Dan Mikami, Daisuke Ochi, Ayumi Matsumoto, Akira Kojima
Improved Binary Feature Matching through Fusion of Hamming Distance and Fragile Bit Weight
Optimized Speech Balloon Placement for Automatic Comics Generation
Wei-Ta Chu, Chia-Hsiang Yu
16:30-17:00 Coffee Break
17:00-18:20 Oral Session 2
A Smart Watch-based Gesture Recognition System for Assisting People with Visual Impairments
Lorenzo Porzi, Stefano Messelodi, Carla Maria Modena, Elisa Ricci
Sound Preferences of Persons with Hearing Loss Playing an Audio-Based Computer Game
Rumi Hiraga, Kjetil Hansen
Hand Segmentation for Gesture Recognition in EGO-Vision
Giuseppe Serra, Marco Camurri, Lorenzo Baraldi, Michela Benedetti, Rita Cucchiara
Energy Efficient Multi-player Smartphone Gaming using 3D Spatial Subdivisioning and PVS Techniques
Anand Bhojan, Zeng Qiang
With the development of silicon technologies, mobile and portable electronics devices, such as personal computers, mobile phones, digital cameras, and PDA, have become ubiquitous for people's daily life. These devices provide multimedia sources for entertainment, communication, and so on. How to design user interfaces of these products that enable natural, intuitive and fun interaction is one of the main challenges the multimedia community is facing.
Considering that mobile and portable devices are usually supplied with multiple sensors (e.g., camera and microphone), how to employ multimodal information for interaction has recently received much attention in both academia and industry. But interactive multimedia is still an under-explored field. Many challenges exist when moving to multimodal interaction: for example, how to annotate and search huge data acquired by using multiple sensors, especially in the unconstrained end-user environments? how to effectively extract and select representative multimedia features for human behavior recognition? and how to select the fusion strategy of multimodal data for a given application? To address these challenges, we must adapt the existing approaches or find new solutions suitable for multimedia interaction on mobile and portable devices.
This workshop will bring together researchers from both academia and industry in domains including computer vision, audio and speech processing, machine learning, pattern recognition, communications, human-computer interaction, and media technology to share and discuss recent advances in interactive multimedia. Topics include, but are not limited to: