NDLI: Proceedings of the First International Workshop on Internet-Scale Multimedia Management (WISMM '14)

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Storytelling with Big Multimedia Data: Keynote Talk

Social Popularity Score: Predicting Numbers of Views, Comments, and Favorites of Social Photos Using Only Annotations

Student Performance Evaluation of Multimodal Learning via a Vector Space Model

Pushing Image Recognition in the Real World: Towards Recognizing Millions of Entities

Large-Scale Aerial Image Categorization by Multi-Task Discriminative Topologies Discovery

Genre-based Analysis of Social Media Data on Music Listening Behavior: Are Fans of Classical Music Really Averse to Social Media?

Empirical Observation of User Activities: Check-ins, Venue Photos and Tips in Foursquare

Bridging the User Intention Gap: an Intelligent and Interactive Multidimensional Music Search Engine

Towards Storytelling by Extracting Social Information from OSN Photo's Metadata

The Influence of Audio Quality on the Popularity of Music Videos: A YouTube Case Study

#nowplaying Music Dataset: Extracting Listening Behavior from Twitter

Monitoring of User Generated Video Broadcasting Services

Automatic Video Intro and Outro Detection on Internet Television

A Secure P2P Architecture for Video Distribution

Proceedings of the First International Workshop on Internet-Scale Multimedia Management (WISMM '14)

Content Provider	ACM Digital Library
Editor	Yu, Yi Yamasaki, Toshihiko Zimmermann, Roger Tkalcic, Marko Zangerle, Eva
Copyright Year	2014
Abstract	It is our great pleasure to welcome you to the 2014 First ACM International Workshop on Internet-Scale Multimedia Management -- WISMM'14, co-located with the 2014 ACM International Conference on Multimedia. This workshop was inspired by the observation that every day people create and consume massive amounts of multimedia information and data by engaging with various mobile Internet services. With a wide variety of multimedia information and data around us being aggregated over time, the Internet is getting increasingly information centric. We are experiencing an age of increasing demands on how to host people's online engagements and how to augment people's lives in the physical world with more personalized smart services. This workshop is designed to bring researchers and practitioners from academia and industry together to discuss and share perspectives on a key characteristic of multimedia information and data which is that their scale is massive and requires a technological infrastructure that can naccommodate rapid processing, large-scale storage, and flexible analysis of multi-structured data. The mission of the workshop is to share interesting methods and approaches relating to various aspects in the collection, management and processing of large-scale structured and unstructured multimedia information and data. The call for papers attracted 18 full submissions and 6 short submissions from countries around the world including Italy, Singapore, Austria, Japan, China, Germany, France, Canada, the United States, and Mexico. From among all the received submissions, we selected 6 full papers which will be organized into two sessions, and 6 short papers which will be presented in a separate poster session. We also enthusiastically encourage the workshop participants to attend the two keynote talk presentations. These valuable and insightful talks will aid in our understanding and provide food for thought for future developments related to the workshop topics: Storytelling with Big Multimedia Data, Ramesh Jain (University of California, Irvine) Pushing Image Recognition in the Real World -- Towards Recognizing Millions of Entities, Xian-Sheng Hua (Microsoft Research, Redmond).
ISBN	9781450331579
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-11-07
Access Restriction	Subscribed
Content Type	Text
Resource Type	Conference Proceedings

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