@inproceedings{b313fbd8c8834d80947ab2210c888968,
title = "PANORAMIK G{\"O}STERİMLER I{\c C}İN OTOMATİK RESİM VE {\"O}L{\c C}EK SE{\c C}İM",
abstract = "We are presenting our work on automatic zoom level detection and minimal representative input frames subset selection for panoramic image applications. Thanks to the proposed techniques, the user can record videos from a single vantage point with free rotation and zooming motions, without a prohibitive recording time limit. The zoom level (or scale) of the input video frames are computed by mean-shift algorithm in a hierarchical structure. In order to select a minimal representative subset for excessive frames on a given zoom level, a greedy iterative algorithm is devised. Image matching is achieved by local image features and projective transformations. In addition to our recently proposed Multi-scale Panoramic Augmented Reality system, we expect the approach to be useful for other panoramic applications.",
keywords = "automatic zoom-level detection, computer vision, image scaling, mean-shift, multi-scale augmented reality, panoramic images",
author = "Erkut Arican and Tarkan Aydin and Ozden, {Kemal Egemen}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 24th Signal Processing and Communication Application Conference, SIU 2016 ; Conference date: 16-05-2016 Through 19-05-2016",
year = "2016",
month = jun,
day = "20",
doi = "10.1109/SIU.2016.7496161",
language = "T{\"u}rk{\c c}e",
series = "2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2001--2004",
booktitle = "2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings",
}