Detecting and recognizing text from video frames.

Tekinalp, Serhat


Detecting and tracking moving objects with an active camera in real time
Karakaş, Samet; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2011)
Moving object detection techniques can be divided into two categories based on the type of the camera which is either static or active. Methods of static cameras can detect moving objects according to the variable regions on the video frame. However, the same method is not suitable for active cameras. The task of moving object detection for active cameras generally needs more complex algorithms and unique solutions. The aim of this thesis work is real time detection and tracking of moving objects with an ac...
Detecting Image Communities
Esen, Ersin; Ozkan, Savas; Atil, Ilkay; Arabaci, Mehmet Ali; Tankiz, Seda (2014-06-20)
In this work, we propose a novel community detection method that is specifically designed for image communities. We define image community as a coherent subgroup of images within a large set of images. In order to detect image communities, we construct an image graph by utilizing visual affinity between each image pair and then prune most of the links. Instead of affinity values, we prefer ranking of neighboring images and get rid of range mismatch of affinity values. The resulting directed graph is process...
Detecting earthquake induced changes from space and aerial images.
San, Bekir Taner; Türker, Mustafa; Department of Geodetic and Geographical Information Technologies (2002)
Detecting Turkish phishing attacks with machine learning classifiers
Turhanlar, Melih; Acartürk, Cengiz; Department of Cyber Security (2019)
Phishing Attacks are social engineering attacks that aim at stealing victim’s credit card numbers, credentials, and personal information by exploiting victim’s emotions, such as curiosity and fear. The attacker usually sends a webpage link in embodied in textual content. If the victim clicks the link, they usually connect to a mock webpage that imitates a real, institutional webpage. Filling the HTML forms in the mock webpage, the victim sends their credentials unwittingly to the attacker. In our day, phish...
Detecting "Clickbait" News on Social Media Using Machine Learning Algorithms
Genc, Sura; Sürer, Elif (2019-01-01)
Clickbait, which has become very common in social media in recent years, is a technique which uses exaggerated and unreal headlines in order to manipulate people and attract them to their websites. Since the content mentioned in the title is not presented in the main text or the content of text is low-quality, clicked on links often disappoint people. In this study, we attempt to detect clickbaits in Turkish news using Twitter posts. For this purpose, headlines of news were collected from Twitter accounts o...
Citation Formats
S. Tekinalp, “Detecting and recognizing text from video frames.,” Middle East Technical University, 2002.