TR2004-055

Towards Maximizing the End-User Experience


    •  Divakaran, A., Vetro, A., Kan, T., "Towards Maximizing the End-User Experience", IEEE International Conference on Multimedia and Expo (ICME), June 2004.
      BibTeX TR2004-055 PDF
      • @inproceedings{Divakaran2004jun,
      • author = {Divakaran, A. and Vetro, A. and Kan, T.},
      • title = {Towards Maximizing the End-User Experience},
      • booktitle = {IEEE International Conference on Multimedia and Expo (ICME)},
      • year = 2004,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2004-055}
      • }
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Abstract:

Increasing bandwidth and diverse devices have led to a proliferation of options for the consumer of digital video. The user can easily be overwhelmed by the diversity of devices, bandwidth and content. In our view, maximizing the end-user experience involves first helping the user to easily search for and retrieve desired content, and then delivering the content to him by seamlessly adapting to his device and available bandwidth. The first part is therefore based on semantic criteria while the second part is baased on purely signal-based criteria. We propose that scalable content summarization combined with dynamic content adaptation, and unobtrusive processing of user preferences comprise the key technologies for maximizing the end-user experience.

 

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    •  NEWS    ICME 2004: 5 publications by Anthony Vetro, Ajay Divakaran and Huifang Sun
      Date: June 27, 2004
      Where: IEEE International Conference on Multimedia and Expo (ICME)
      MERL Contacts: Anthony Vetro; Huifang Sun
      Brief
      • The papers "Adaptive Fast Playback-Based Video Skimming Using a Compressed-Domain Visual Complexity Measure" by Peker, K.A. and Divakaran, A., "Effective and Efficient Sports Highlights Extraction Using the Minimum Description Length Criterion in Selecting GMM Structures" by Xiong, Z., Radhakrishnan, R., Divakaran, A. and Huang, T.S., "Time Series Analysis and Segmentation Using Eigenvectors for Mining Semantic Audio Label Sequences" by Radhakrishnan, R., Xiong, Z., Divakaran, A. and Memon, N., "Towards Maximizing the End-User Experience" by Divakaran, A., Vetro, A. and Kan, T. and "Coding Artifact Reduction Using Edge Map Guided Adaptive and Fuzzy Filter" by Kong, H.-S., Nie, Y., Vetro, A., Sun, H. and Barner, K.E. were presented at the IEEE International Conference on Multimedia and Expo (ICME).
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