Streaming Summarization
Streaming Summarization is a data summarization method that generates and updates concise, representative summaries of continuous, real-time data streams by processing each element incrementally with limited memory and computational resources.
81
Publications
6.4K
Citations
258
Authors
116
Institutions
Publications per year
2017–2026
21
Parents
81
Adam Marcus, Michael S. Bernstein, Osama Badar et al. · 2011 · 557 citations · Full text
Streaming submodular maximization
Ashwinkumar Badanidiyuru, Baharan Mirzasoleiman, Amin Karbasi et al. · 2014 · 306 citations
Auto-summarization of audio-video presentations
Li-wei He, Elizabeth Sanocki, Anoop Gupta et al. · 1999 · 222 citations · Full text
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116
AT&T (United States)
Bedminster, United States
6 h-index
17 publications
4.2K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
5 h-index
8 publications
4.9K citations
Microsoft (United States)
Redmond, United States
5 h-index
9 publications
1K citations
University of California, Santa Barbara
Santa Barbara, United States
4 h-index
10 publications
467 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
9 publications
3.4K citations
ETH Zurich
Zurich, Switzerland
3 h-index
7 publications
1.1K citations
University of California, Riverside
Riverside, United States
3 h-index
6 publications
184 citations

Peking University
Beijing, China
3 h-index
7 publications
225 citations
1–8 of 116
TKDE · 6 publications · 273 citations
6
h-index
Repository · 5 publications · 80 citations
5
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PVLDB · 3 publications · 111 citations
3
h-index
2 publications · 52 citations
2
h-index
2 publications · 95 citations
2
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