Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Event Boundary Detection Using Audio Visual Features and Web casting Texts with Imprecise Time Information
Date
2010-07-21
Author
MÜJDAT, Bayar
ALAN, Özgür
SAMET, Akpınar
ORKUNT, Sabuncu
Çiçekli, Fehime Nihan
Alpaslan, Ferda Nur
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
198
views
0
downloads
Cite This
We propose a method to detect events and event boundaries in soccer videos by using web-casting texts and audio-visual features. The events and their inaccurate time information given in web-casting texts need to be aligned with the visual content of the video. We overcome this issue by utilizing textual, visual and audio features. Existing methods assume that the time at which the event occurs is given precisely (in seconds). However, most web-casting texts presented by popular organizations such as uefa.com (the official site of Union of European Football Associations) provide the time information in minutes rather than seconds. We propose a robust method which is able to handle uncertainties in the time points of the events. As a result of our experiments, we claim that our method detects event boundaries satisfactorily for uncertain web-casting texts, and that the use of audio-visual features improves the performance of event boundary detection.
Subject Keywords
Event boundary detection
,
Shot detection and classification
,
Multimedia mining
URI
https://hdl.handle.net/11511/42118
DOI
https://doi.org/10.1109/euc.2010.93
Collections
Department of Computer Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Event boundary detection using web-cating texts and audio-visual features
Müjdat, Bayar; Çiçekli, Fehime Nihan; Department of Computer Engineering (2011)
We propose a method to detect events and event boundaries in soccer videos by using web-casting texts and audio-visual features. The events and their inaccurate time information given in web-casting texts need to be aligned with the visual content of the video. Most match reports presented by popular organizations such as uefa.com (the official site of Union of European Football Associations) provide the time information in minutes rather than seconds. We propose a robust method which is able to handle unce...
Event Detection by Change Tracking on Community Structure of Temporal Networks
Aktunc, Riza; Toroslu, İsmail Hakkı; Karagöz, Pınar (2018-08-31)
Event detection is a popular research problem, aiming to detect events from online data sources with least possible delay. Most of the previous work focus on analyzing textual content such as social media postings to detect happenings. In this work, we consider event detection as a change detection problem in network structure, and propose a method that detects change in community structure extracted from communication network. We study three versions of the method based on different change models. Experime...
Streaming Event Detection in Microblogs: Balancing Accuracy and Performance
SAHIN, OZLEM CEREN; Karagöz, Pınar; TATBUL, NESIME (2019-06-14)
In this work, we model the problem of online event detection in microblogs as a stateful stream processing problem and offer a novel solution that balances result accuracy and performance. Our new approach builds on two state of the art algorithms. The first algorithm is based on identifying bursty keywords inside blocks of blog messages. The second one involves clustering blog messages based on similarity of their contents. To combine the computational simplicity of the keyword-based algorithm with the sem...
Event Detection via Tracking the Change in Community Structure and Communication Trends
Aktunc, Riza; Karagöz, Pınar; Toroslu, Ismail Hakki (2022-01-01)
Event detection is a popular research problem aiming to detect events from various data sources, such as news texts, social media postings or social interaction patterns. In this work, event detection is studied on social interaction and communication data via tracking changes in community structure and communication trends. With this aim, various community structure and communication trend based event detection methods are proposed. Additionally, a new strategy called community size range based change trac...
Word Embedding Based Event Detection on Social Media
Ertugrul, Ali Mert; Velioglu, Burak; Karagöz, Pınar (2017-06-23)
Event detection from social media messages is conventionally based on clustering the message contents. The most basic approach is representing messages in terms of term vectors that are constructed through traditional natural language processing (NLP) methods and then assigning weights to terms generally based on frequency. In this study, we use neural feature extraction approach and explore the performance of event detection under the use of word embeddings. Using a corpus of a set of tweets, message terms...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. MÜJDAT, Ö. ALAN, A. SAMET, S. ORKUNT, F. N. Çiçekli, and F. N. Alpaslan, “Event Boundary Detection Using Audio Visual Features and Web casting Texts with Imprecise Time Information,” 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42118.