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
Video Action Recognition Using an Optical Flow Based Representation
Date
2014-07-21
Author
Akpınar, Samet
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
44
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/99141
Conference Name
The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), 2014.
Collections
Department of Computer Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Video stabilization: digital and mechanical approaches
Bayrak, Serhat; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2008)
General video stabilization techniques which are digital, mechanical and optical are discussed. Under the concept of video stabilization, various digital motion estimation and motion correction algorithms are implemented. For motion estimation, in addition to digital approach, a mechanical approach is implemented also. Then all implemented motion estimation and motion correction algorithms are compared with respect to their computational times and accuracies over various videos. For small amount of jitter, ...
Video Content Analysis Using Dominant Sets
Sakarya, Ufuk; TELATAR, ZİYA (2009-04-11)
In this paper, a graph-based method for video content analysis is proposed The characteristics of the detected shots are investigated for news, commercial, animated cartoon, basketball and documentary videos and experimental studies are realized on these videos. The maximum clique on the weighted and undirected graph, which is constructed according to visual content, is tried being detected. it is inferred that specially in news and commercials, the proposed method can be used for temporal video segmentation.
Video distribution over IP networks
Özdem, Mehmet; Erten, Y. Murat; Department of Information Systems (2007)
As applications like IPTV and VoD (Video on demand) are gaining popularity, it is becoming more important to study the behavior of video signals in the Internet access infrastructures such as ADSL and cable networks. Average delay, average jitter and packet loss in these networks affect the quality of service, hence transmission and access speeds need to be determined such that these parameters are minimized. In this study the behavior of the above mentioned IP networks under variable bit rate (VBR) video t...
Video Adaptation Based on Content Characteristics and Hardware Capabilities
Önür, Özgür Denız; Alatan, Abdullah Aydın (CRC, New York , 2009-02-01)
Video adaptation can be classifi ed in many diff erent ways depending on the application scenario used. Some appropriate classifi cations include the following [2]:Semantic-level video adaptation Signal-level video adaptation (transcoding) Adaptation of scalable streamsSemantic video adaptation can be basically described as the detection of important or relevant fragments of a video clip (like goals in a soccer video or dialog scenes in an interview) and giving higher priority to these segments during the redu...
Video adaptation based on content characteristics and hardware capabilities
Onur, Ozgur Deniz; Alatan, Abdullah Aydın (2007-12-18)
The subjective user satisfaction related to viewing a video on a resource constrained mobile device is modeled by using a utility function. The resulting models account for different video content characteristics and varying hardware capabilities of the viewing device. The user satisfaction is divided into two independent components, namely the temporal and the spatial satisfaction. Subjective video evaluation experiments are performed to obtain the models for each component. These components are combined b...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Akpınar and F. N. Alpaslan, “Video Action Recognition Using an Optical Flow Based Representation,” presented at the The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), 2014., Nevada, Amerika Birleşik Devletleri, 2014, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/99141.
