Automated detection of viewer engagement by head motion analysis

Download

index.pdf

Date

2015

Author

Güler, Uğur

Metadata

Show full item record

Item Usage Stats

43
views

19
downloads

Measuring viewer engagement plays a crucial role in education and entertainment. In this study we analyze head motions of the viewers from video streams to automatically determine their engagement level. Due to unavailability of a dataset for such an application, we have built our own dataset. By using face detection system, the head position of viewer is obtained throughout the video for each frame. Then, using these positions, we analyze and extract some features. In order to classify the data, we employ both Random Forest and Support Vector Machine (SVM) with extracted parameters. User engagement detection is performed using the employed model and the results indicate accuracy of 89.4% and recall of 90.9% on our dataset with Random Forest.

Subject Keywords

Content-based image retrieval., Image processing, Pattern recognition systems., Machine learning.

URI

http://etd.lib.metu.edu.tr/upload/12618688/index.pdf
https://hdl.handle.net/11511/24608

Collections

Graduate School of Informatics, Thesis

Suggestions

OpenMETU
Core

Optical flow based video frame segmentation and segment classification Akpınar, Samet; Alpaslan, Ferda Nur; Department of Computer Engineering (2018) Video information retrieval is a field of multimedia research enabling us to extract desired semantic information from video data. In content-based video information retrieval, visual content obtained from video scenes is utilized. For developing methods to cope with content-based video information retrieval in terms of temporal concepts such as action, event, etc., representation of temporal information becomes critical. In this thesis, action detection is tackled based on a temporal video representation m...
Camera electronics and image enhancement software for infrared detector arrays Küçükkömürler, Alper; Akın, Tayfun; Department of Environmental Engineering (2012) This thesis aims to design and develop camera electronics and image enhancement software for infrared detector arrays. It first discusses the camera electronics suitable for infrared detector arrays, then it concentrates on image enhancement software that are implemented including defective pixel correction, contrast enhancement, noise reduction and pseudo coloring. After that, testing and results of the implemented algorithms were presented. Camera electronics and circuit operation frequency are selected c...
To What Extent Are Science Teachers Ready to Teach Sustainable Development? A Case Study for Two Experienced Teachers Pedagogical Content Concerns Öztekin, Ceren (2017-05-21) This study aims to examine two in-service middle school teachers’ pedagogical content knowledge (PCK) and pedagogical content concerns (PCC) about sustainable development (SD). Data were collected from semi-structured interviews and they were both deductively and inductively coded and categorized to reach the findings. Findings of the study suggested that teachers had concerns about students’ lack of interest and awareness to SD, teachers’ deficient ...
DATA-DRIVEN IMAGE CAPTIONING WITH META-CLASS BASED RETRIEVAL Kilickaya, Mert; Erdem, Erkut; Erdem, Aykut; İKİZLER CİNBİŞ, NAZLI; Çakıcı, Ruket (2014-04-25) Automatic image captioning, the process cif producing a description for an image, is a very challenging problem which has only recently received interest from the computer vision and natural language processing communities. In this study, we present a novel data-driven image captioning strategy, which, for a given image, finds the most visually similar image in a large dataset of image-caption pairs and transfers its caption as the description of the input image. Our novelty lies in employing a recently' pr...
Content-based audio management and retrieval system for news broadcasts Doğan, Ebru; Yazıcı, Adnan; Department of Computer Engineering (2009) The audio signals can provide rich semantic cues for analyzing multimedia content, so audio information has been recently used for content-based multimedia indexing and retrieval. Due to growing amount of audio data, demand for efficient retrieval techniques is increasing. In this thesis work, we propose a complete, scalable and extensible audio based content management and retrieval system for news broadcasts. The proposed system considers classification, segmentation, analysis and retrieval of an audio st...

Citation Formats

U. Güler, “Automated detection of viewer engagement by head motion analysis,” M.S. - Master of Science, Middle East Technical University, 2015.