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Vi uppskattar flexibla, självdrivna och mångkunniga studenter med bra social och kommunikativ förmåga som trivs i ett företag med entreprenörskultur.<!--more-->\n \n-Thesis work scheduled to be carried out in the fall of 2015.\n+# Projektbeskrivning\n \n-We are looking for a skilled and bright master thesis student in software engineering, with prior experience in programming and signal processing, and with solid math skills. We appreciate dynamic, self-propelled and all-round students with good communication and social skills, who would thrive in a start-up entrepreneurial corporate culture.<!--more-->\n+Smartphones används mer än någonsin till att fotografera och spela in video. Men samtidigt som kvaliteten av fotografier ökar så händer det inte mycket med förbättring av kvaliteten för video. Telefonens kamera är dock ett bra mätverktyg och med en inspelad video som data kan man utläsa rörelsemönster i kameran och använda dom för att räkna ut användarens syfte med videoklippet.\n \n-More videos than ever before are recorded by amateurs, thanks to the proliferation of portable devices such as smartphones. However, whereas quality in consumer still photography has increased considerably, the same is not true for video clips. One remaining issue is that video clips from smartphones become too long, and they would benefit from post-production editing. However, consumers find this task too complex and time consuming, especially if done at a small handheld device.\n+<figure><img src=\"/careers/masterThesisVideoSW/autocut.svg\" style=\"width:100%;\"></img></figure><center>Figure: Example of video with sequences of different qualities</center>\n \n-The phone's camera, however, is a good measuring device, with the recorded video as data set. This data can be used to determine camera motion patterns and extrapolate user intent with the video clip. Imint is currently conducting research in this domain, with ongoing master thesis projects. This position will take these findings further, by using such motion data, and finding heuristic methods to automatically suggest segmentation of a recorded video clip, available to the user shortly after recording is completed.\n+Bilden ovan illustrerar hur upplevelsen av en video blir sämre när delar av videon är av dålig kvalité. 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