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» The Challenges of Automatic Summarization
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MMM
2012
Springer
313views Multimedia» more  MMM 2012»
12 years 3 months ago
Combining Image-Level and Segment-Level Models for Automatic Annotation
Abstract. For the task of assigning labels to an image to summarize its contents, many early attempts use segment-level information and try to determine which parts of the images c...
Daniel Küttel, Matthieu Guillaumin, Vittorio ...
ICPR
2008
IEEE
14 years 2 months ago
Detection of representative frames of a shot using multivariate Wald-Wolfowitz test
For efficient indexing, browsing and retrieval of video data and also for video summarization, extraction of representative frames is essential. Once a video stream is segmented ...
Partha Pratim Mohanta, Sanjoy Kumar Saha, Bhabatos...
WWW
2010
ACM
14 years 25 days ago
What are the most eye-catching and ear-catching features in the video?: implications for video summarization
Video summarization is a mechanism for generating short summaries of the video to help people quickly make sense of the content of the video before downloading or seeking more det...
Yaxiao Song, Gary Marchionini, Chi Young Oh
ICASSP
2008
IEEE
14 years 2 months ago
Impact of automatic sentence segmentation on meeting summarization
This paper investigates the impact of automatic sentence segmentation on speech summarization using the ICSI meeting corpus. We use a hidden Markov model (HMM) for sentence segmen...
Yang Liu, Shasha Xie
SPEECH
2002
91views more  SPEECH 2002»
13 years 7 months ago
Large vocabulary continuous speech recognition of Broadcast News - The Philips/RWTH approach
Automatic speech recognition of real-live broadcast news (BN) data (Hub-4) has become a challenging research topic in recent years. This paper summarizes our key efforts to build ...
Peter Beyerlein, Xavier L. Aubert, Reinhold Haeb-U...