254,255 Hits in 5.3 sec

Use of Text Summarization for Supporting Event Detection

Chih-Ping Wei, Pao-Feng Wu, Yen-Hsien Lee
2004 Pacific Asia Conference on Information Systems  
Event detection, an important task in organizational environmental scanning, is to identify the onset of new events from streams of news stories.  ...  Using a traditional event detection technique (i.e., INCR) as a performance benchmark, our empirical evaluation results suggest that the proposed SED technique achieve comparable or even better detection  ...  Acknowledgment This work was supported by National Science Council of the Republic of China under the grant NSC 91-2416-H-110-014.  ... 
dblp:conf/pacis/WeiWL04 fatcat:pvkoxphvvvfy5jr6cohjrswmou

Event Monitoring and Intelligence Gathering Using Twitter Based Real-Time Event Summarization and Pre-Trained Model Techniques

Chung-Hong Lee, Hsin-Chang Yang, Yenming J. Chen, Yung-Lin Chuang
2021 Applied Sciences  
We used an online text-stream clustering algorithm and self-adaptive method developed to gather the Twitter data for detection of emerging events.  ...  Therefore, in this work, we combine a developed Twitter-based real-time event detection algorithm with pre-trained language models for summarizing emergent events.  ...  We used an online text-stream clustering algorithm and self-adaptive method developed to gather the Twitter data for detection of major international events.  ... 
doi:10.3390/app112210596 fatcat:ddx6eoqed5eyjfjudehakxgunu

Sports video summarization using highlights and play-breaks

Dian Tjondronegoro, Yi-Ping Phoebe Chen, Binh Pham
2003 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval - MIR '03  
However, due to the amount of noises in sport audio, fast text-display detection will be used for verification of the detected highlights.  ...  For automation of the process, combination of audio and visual features provides more accurate detection.  ...  However, they have not demonstrated the use of some other supportive features, such as whistle and text display to detect play-break sequences.  ... 
doi:10.1145/973264.973296 dblp:conf/mir/TjondronegoroCP03 fatcat:hxwv4gfrxbfvzbtadyyoerz2am

Recompilation of Broadcast Videos Based on Real-World Scenarios [chapter]

Ichiro Ide
2013 Lecture Notes in Computer Science  
In order to effectively make use of videos stored in a broadcast video archive, we have been working on their recompilation.  ...  In this paper, we will introduce our works in news, sports, and cooking domains, that makes use of Wikipedia articles, demoscopic polls, twitter tweets, and cooking recipes in order to recompile video  ...  Parts of the works introduced in this paper were supported by Grants-in-aid for Scientific Research (B), for Scientific Research on Priority Areas (Infoplosion), and for Young Researchers (B), together  ... 
doi:10.1007/978-3-642-35728-2_6 fatcat:fr2ak5wbq5cv7fdj2g3yrjryh4

Highlights for more complete sports video summarization

D. Tjondronegoro, Yi-Ping Phoebe Chen, Binh Pham
2004 IEEE Multimedia  
of camera views. 1 To date, most summarization techniques have focused on one type of sports video by detecting specific highlights (or key events) using ❚ specific features such as slow-motion replay  ...  using fast detection of whistle and excitement sounds.  ...  Automatically Detected Highlights Using Using Using Whistle + Using Whistle + Whistle Only Whistle + Text Excitement Excitement + Text Total Number of Time Number of Time Number of Time  ... 
doi:10.1109/mmul.2004.28 fatcat:oi3vxyty2zf3tlvwqqikf6po2u

Temporal summarization of event-related updates in wikipedia

Mihai Georgescu, Dang Duc Pham, Nattiya Kanhabua, Sergej Zerr, Stefan Siersdorfer, Wolfgang Nejdl
2013 Proceedings of the 22nd International Conference on World Wide Web - WWW '13 Companion  
For a given entity, the system first identifies peaks of update activities for the entity using burst detection and automatically extracts event-related updates using a machine-learning approach.  ...  Finally, the system generates the meaningful temporal summarization of event-related updates and automatically annotates the identified events in a timeline.  ...  Summarizing Events: Each detected event, corresponding to a burst of updates, is summarized using a ranked list of sentences.  ... 
doi:10.1145/2487788.2487923 dblp:conf/www/GeorgescuPKZSN13 fatcat:xbhel3db4fambbrp3yq4ow3le4

LeadLine: Interactive visual analysis of text data through event identification and exploration

Wenwen Dou, Xiaoyu Wang, Drew Skau, William Ribarsky, Michelle X. Zhou
2012 2012 IEEE Conference on Visual Analytics Science and Technology (VAST)  
To further support analysis of the text corpora through events, LeadLine allows users to interactively examine meaningful events using the 4 Ws to develop an understanding of how and why.  ...  , and where for each event.  ...  ACKNOWLEDGEMENTS This work was supported in part by a grant from the National Science Foundation under award number SBE-0915528.  ... 
doi:10.1109/vast.2012.6400485 dblp:conf/ieeevast/DouWSRZ12 fatcat:icluncbxo5fo5d4se4pawagseq

Experimentation Standards for Crisis Informatics

Fernando Diaz
2014 SIGIR Forum  
Bursts of on-event documents should be detected early. Classification, if used for situational awareness, should be up to date.  ...  These systems use state of the art text mining algorithms to extract information from online media to support crisis responders and other users.  ... 
doi:10.1145/2701583.2701586 fatcat:h4ewbvocv5bane4bwyljt6ztcm

A Novel Framework for Semantic Annotation and Personalized Retrieval of Sports Video

Changsheng Xu, Jinjun Wang, Hanqing Lu, Yifan Zhang
2008 IEEE transactions on multimedia  
Sports video annotation is important for sports video semantic analysis such as event detection and personalization.  ...  Compared with previous approaches, the contributions of our approach include the following. 1) The event detection accuracy is significantly improved due to the incorporation of web-casting text analysis  ...  Text Event Detection The web-casting texts of soccer and basketball games obtained from BBC and ESPN website are used for text event detection.  ... 
doi:10.1109/tmm.2008.917346 fatcat:w3bbhwkyt5chfbkp4nocemiexe

Two Sides to Every Story: Subjective Event Summarization of Sports Events using Twitter

David Corney, Carlos Martin, Ayse Göker
2014 International Conference on Multimedia Retrieval  
We then use a topic detection algorithm to discover the main topics discussed by each set of fans. Finally we compare these to live mainstream media reports of the event and select  ...  Despite this, recent work on algorithmic topic detection, event summarization and content generation often has a stated aim of objectively answering the question, "What just happened?"  ...  Acknowledgments This work is supported by the SocialSensor FP7 project, partially funded by the EC under contract number 287975.  ... 
dblp:conf/mir/CorneyMG14 fatcat:6llbhoy5ifhr5kv677bczly37i

A novel approach for semantic event extraction from sports webcast text

Chun-Min Chen, Ling-Hwei Chen
2012 Multimedia tools and applications  
According to our experimental results, the proposed approach actually extracts significant text events, which can be used for further video indexing and summarization.  ...  Semantic event extraction is helpful for video annotation and retrieval. For sports video, most previous works detect events by video content itself.  ...  An unsupervised scheme is used to detect events from the webcast text and extract multiple keywords from each event.  ... 
doi:10.1007/s11042-012-1323-6 fatcat:luhyfkz2izee3m3fk5elmtcqaq

Audio salient event detection and summarization using audio and text modalities

Athanasia Zlatintsi, Elias Iosif, Petros Marago, Alexandros Potamianos
2015 2015 23rd European Signal Processing Conference (EUSIPCO)  
This paper investigates the problem of audio event detection and summarization, building on previous work [1, 2] on the detection of perceptually important audio events based on saliency models.  ...  We take a synergistic approach to audio summarization where saliency computation of audio streams is assisted by using the text modality as well.  ...  In this paper, we use audio data extracted from movies for audio salient event detection and summarization.  ... 
doi:10.1109/eusipco.2015.7362797 dblp:conf/eusipco/ZlatintsiIMP15 fatcat:wewvmbp3pfarbex2yoglcgs3gi

Twitter Event Summarization Using Phrase Reinforcement Algorithm and NLP Features

G. S.
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
In this paper, we have used an algorithm which uses a frequency count technique along with this we have also used some NLP features to summarize the event specified by the user.  ...  It is not possible for any human to read the posts to get meaningful information related to specific events.  ...  In this paper they propose a new algorithm for event detection using the co-occurrence of keywords.  ... 
doi:10.17762/ijritcc2321-8169.150201 fatcat:x5amk6mrwnhffbep2he2mqrxe4

Topic Evolutionary Tweet Stream Clustering Algorithm and TCV Rank Summarization

Selvaraj K, Balaji S
2016 International Journal of Advancements in Technology  
Implementing continuous tweet stream reducing a text document is however not a simple task, since a huge number of tweets are worthless, unrelated and raucous in nature, due to the social nature of tweeting  ...  Our proposed work consist three components tweet stream clustering to cluster tweet using kmeans cluster algorithm and second tweet cluster vector technique to generate rank summarization using greedy  ...  A variety of services on the Web such as news filtering, text crawling, and topic detecting etc. have posed requirements for text stream clustering.  ... 
doi:10.4172/0976-4860.1000162 fatcat:ghiei67gkbhehcuuy24rf43hxa

K Prototype Clustering with Efficient Summarization for Topic Evolutionary Tweet Stream Clustering

2017 International Journal of Science and Research (IJSR)  
Social media data reflects the lot of interests of virtual communities in a spontaneous and timely manner. Tweets are created as short text message and shared for each users and information analysts.  ...  Twitter that receives over four hundred million tweets per day has emerged as a useful supply of reports, blogs, opinions and additional. Our projected work consists of 3 parts.  ...  A variety of services on the online like news filtering, text crawling, and topic detecting etc. have posed needs for text stream clustering CluStream to generate duration -based cluster results for text  ... 
doi:10.21275/art20164057 fatcat:yrf6bv5zrrhyfmbr3m2dcv2rsm
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