skip to main content
10.1145/1459359.1459541acmconferencesArticle/Chapter ViewAbstractPublication PagesmmConference Proceedingsconference-collections
demonstration

i.MTV: an integrated system for mtv affective analysis

Published: 26 October 2008 Publication History

Abstract

In modern time, MTV has become an important favorite pastime to people because of its conciseness, convenience and the ability to bring both audio and visual experiences to audiences. It has become an significant task to develop new techniques for natural, user-friendly, and effective MTV access. In this demo, an integrated system (i.MTV) is constructed for MTV Affective Analysis, Visualization, Retrieval, and User Profile Analysis. We not only perform the effective MTV affective analysis, but also propose novel Affective Visualization techniques to make the abstract affective states intuitive and friendly to users. Based on the affective analysis and visualization, MTV affective retrieval and management are achieved. Furthermore, novel methods are proposed for user affective preferences analysis and MTV recommendation.

References

[1]
H. Schlosberg. Three dimensions of emotion Psychol. Rev, vol. 61, no. 2, pp. 81--88, Mar. 1954.
[2]
B. J. Frey and D. Dueck. Clustering by passing messages between data points. SCIENCE, vol. 315:972--976, Feb. 2007.
[3]
G. P. Nguyen and M. Worring. Optimization of interactive visual similarity based search. ACM Transactions on Multimedia Computing, Communications, and Applications, vol.4, Jan. 2008.
[4]
X. L. Liu, T. Mei, X. S. Hua, B. Yang, and H. Q. Zhou. Video collage. In ACM International Conference on Multimedia, pp. 461--462, 2007.

Cited By

View all
  • (2016)Multimodal Deep Convolutional Neural Network for Audio-Visual Emotion RecognitionProceedings of the 2016 ACM on International Conference on Multimedia Retrieval10.1145/2911996.2912051(281-284)Online publication date: 6-Jun-2016
  • (2014)Music Emotion Classification (MEC): Exploiting Vocal and Instrumental Sound FeaturesRecent Advances on Soft Computing and Data Mining10.1007/978-3-319-07692-8_51(539-549)Online publication date: 2014
  • (2013)Hierarchical affective content analysis in arousal and valence dimensionsSignal Processing10.1016/j.sigpro.2012.06.02693:8(2140-2150)Online publication date: 1-Aug-2013
  • Show More Cited By

Index Terms

  1. i.MTV: an integrated system for mtv affective analysis

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    MM '08: Proceedings of the 16th ACM international conference on Multimedia
    October 2008
    1206 pages
    ISBN:9781605583037
    DOI:10.1145/1459359
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 October 2008

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. affective content analysis
    2. affective visualization
    3. affinity propagation
    4. dimensional affective model

    Qualifiers

    • Demonstration

    Conference

    MM08
    Sponsor:
    MM08: ACM Multimedia Conference 2008
    October 26 - 31, 2008
    British Columbia, Vancouver, Canada

    Acceptance Rates

    Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)1
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 07 Jan 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2016)Multimodal Deep Convolutional Neural Network for Audio-Visual Emotion RecognitionProceedings of the 2016 ACM on International Conference on Multimedia Retrieval10.1145/2911996.2912051(281-284)Online publication date: 6-Jun-2016
    • (2014)Music Emotion Classification (MEC): Exploiting Vocal and Instrumental Sound FeaturesRecent Advances on Soft Computing and Data Mining10.1007/978-3-319-07692-8_51(539-549)Online publication date: 2014
    • (2013)Hierarchical affective content analysis in arousal and valence dimensionsSignal Processing10.1016/j.sigpro.2012.06.02693:8(2140-2150)Online publication date: 1-Aug-2013
    • (2012)Machine Recognition of Music EmotionACM Transactions on Intelligent Systems and Technology10.1145/2168752.21687543:3(1-30)Online publication date: 1-May-2012
    • (2010)Correlation-based feature selection and regressionProceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I10.5555/1884564.1884568(25-35)Online publication date: 21-Sep-2010
    • (2010)Music video affective understanding using feature importance analysisProceedings of the ACM International Conference on Image and Video Retrieval10.1145/1816041.1816074(213-219)Online publication date: 5-Jul-2010
    • (2010)Affective Visualization and Retrieval for Music VideoIEEE Transactions on Multimedia10.1109/TMM.2010.205963412:6(510-522)Online publication date: 1-Oct-2010

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media