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WISMM '14: Proceedings of the First International Workshop on Internet-Scale Multimedia Management
ACM2014 Proceeding
  • General Chairs:
  • Roger Zimmermann,
  • Yi Yu
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
MM '14: 2014 ACM Multimedia Conference Orlando Florida USA 7 November 2014
ISBN:
978-1-4503-3157-9
Published:
07 November 2014
Sponsors:
Next Conference
October 28 - November 1, 2024
Melbourne , VIC , Australia
Bibliometrics
Skip Abstract Section
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)

Skip Table Of Content Section
SESSION: Keynote I
keynote
Storytelling with Big Multimedia Data: Keynote Talk

Big data is becoming increasingly multimedia data. Storytelling is one of the oldest and the most popular activity for humans. Historically, since the early days of human existence, storytelling has been used as a means of simple communication as well ...

SESSION: Oral Session I: Analysis of Online Activities
research-article
Social Popularity Score: Predicting Numbers of Views, Comments, and Favorites of Social Photos Using Only Annotations

In this paper, we propose an algorithm to predict the social popularity (i.e., the numbers of views, comments, and favorites) of content on social networking services using only text annotations. Instead of analyzing image/video content, we try to ...

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

It is frequently presumed that lovers of Classical music are not present in social media. In this paper, we investigate whether this statement can be empirically verified. To this end, we compare two social media platforms --- Last.fm and Twitter --- ...

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

The popularity of online social networks (OSNs) is growing rapidly over time. People share their experiences with their friends and relatives with the help of multimedia such as image, video, text, etc. The amount of such shared multimedia is also ...

research-article
#nowplaying Music Dataset: Extracting Listening Behavior from Twitter

The extraction of information from online social networks has become popular in both industry and academia as these data sources allow for innovative applications. However, in the area of music recommender systems and music information retrieval, ...

POSTER SESSION: Poster Session
poster
Student Performance Evaluation of Multimodal Learning via a Vector Space Model

Multimodal learning, as an effective method to helping students understand complex concepts, has attracted much research interest recently. Our motivation of this work is very intuitive: we want to evaluate student performance of multimodal learning ...

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

Location-based social networking platform (e.g., Foursquare), as a popular scenario of participatory sensing system that collects heterogeneous information (such as tips and photos) of venues from users, has attracted much attention recently. In this ...

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

Video-sharing websites like YouTube contain many music videos. On such websites, the audio quality of these music videos can differ from poor to very good since the content is uploaded by users. The results of a previous study indicated that music ...

poster
Monitoring of User Generated Video Broadcasting Services

Mobile video broadcasting services offer users the opportunity to instantly share content from their mobile handhelds to a large audience over the Internet. However, existing data caps in cellular network contracts and limitations in their upload ...

poster
Automatic Video Intro and Outro Detection on Internet Television

Content Delivery Networks aim to deliver multimedia content to end-users with high reliability and speed. However, the transmission costs are very high due to large volume of video data. To cost-effectively deliver bandwidth-intensive video data, ...

poster
A Secure P2P Architecture for Video Distribution

Currently, video demand has increased significantly, as well as sites that provide this type of service. There is also a wide range of devices from which video requests are performed. Due to these facts, video providers use different video coding ...

SESSION: Keynote II
keynote
Pushing Image Recognition in the Real World: Towards Recognizing Millions of Entities

Building a system that can recognize "what," "who," and "where" from arbitrary images has motivated researchers in computer vision, multimedia and machine learning areas for decades. Significant progresses have been made in recently years based on ...

SESSION: Oral Session II: Categorization and Search
research-article
Large-Scale Aerial Image Categorization by Multi-Task Discriminative Topologies Discovery

Fast and accurately categorizing the millions of aerial images on Google Maps is a useful technique in multimedia applications. Existing methods cannot handle this task effectively due to two reasons. 1) It is challenging to build a realtime image ...

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

Music is inherently abstract and multidimensional. However, existing music search engines are usually not convenient or too complicated for users to create multidimensional music queries, leading to the intention gap between users' music information ...

Contributors
  • National University of Singapore
  • Research Organization of Information and Systems National Institute of Informatics

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  1. Proceedings of the First International Workshop on Internet-Scale Multimedia Management
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          Acceptance Rates

          WISMM '14 Paper Acceptance Rate6of18submissions,33%Overall Acceptance Rate6of18submissions,33%
          YearSubmittedAcceptedRate
          WISMM '1418633%
          Overall18633%