Browsing Mastergradsoppgaver i teknologi - informatikk by Author
DSpace/Manakin Repository
- Home
- Fakultet for naturvitenskap og teknologi
- Institutt for informatikk
- Mastergradsoppgaver i teknologi - informatikk
- Browsing Mastergradsoppgaver i teknologi - informatikk by Author
Browsing Mastergradsoppgaver i teknologi - informatikk by Author
Previous Page
Now showing items 28-30 of 30
-
Simonsson, Carl Erik Joakim (Master thesis; Mastergradsoppgave, 01-Jun-2010)[+][-]
Abstract: This thesis investigates how head tracking can be implemented by using inexpensive off-the-shelf hardware for a 6 x 3 meter high-resolution display wall. The tracking system has been integrated into to an existing event system, Shout, that allows for inter-program communication. An application called htsim has been developed that is used for testing different head tracking configurations in a virtual environment. Developing in a virtual environment does not require access to head tracking hardware. Tracking algorithms developed in the virtual environment can directly be used for head tracking in a physical environment. The tracking system is able to track a user's head with cameras that are placed behind the user. htsim is also used for configuring the head tracking system used in the physical environment. Experiments detail out the overall latency in the system and sources of jitter. URI: http://hdl.handle.net/10037/2634 File(s) in this item: 1
thesis.pdf (7.226Mb) -
Sundby, David (Master thesis; Mastergradsoppgave, 01-Jun-2011)[+][-]
Abstract: The widespread use of digital cameras and mobile phones, along with a rapidly growth of image sharing, challenges current image retrieval techniques. It is difficult for image retrieval system to find the semantic meaning of images based on human’s subjectivity and the size of current image databases makes it difficult to organize and search images. This thesis shows that information retrieval techniques can be used to reduce the search space of existing image collections, by creating collection summaries that holds only the most representative metadata from existing image collections. The representative metadata are metadata that are most distinguishing for the specific image collection. The system take advantage of the metadata available for images, which includes user provided tags, date/time, GPS coordinates, and metadata augmented by the system using already available metadata. Higher level representations of user provided terms are located and ensures that the system captures the most descriptive properties of the image collections. The system designed is able to produce collection summaries that capture properties of an image collection that support human’s natural perception as long as enough metadata are available. Also, the system increase the contextual understanding of images as long as date/time (of capture) and GPS coordinates is available for all or some of the images in the collection. The evaluation of the system indicates that grouping user provided terms into higher level representations is very useful for capturing the most important properties of an image collection. Also the evaluation expresses the usefulness of augmenting images with additional metadata and converting numeric metadata into readable terms. The comparisons made in the evaluation indicates that not only are the collection summaries similar to individual test users perception of image collections, but the summaries also includes more descriptive information of relevance. URI: http://hdl.handle.net/10037/3657 File(s) in this item: 2
source.zip (94.54Mb)thesis.pdf (3.098Mb) -
Thorvaldsen, Idar (Master thesis; Mastergradsoppgave, 06-Feb-2009)[+][-]
Abstract: There is a continuing desire and need for improving the processes of describing and searching for digital images. While good progress has been made adapting traditional information retrieval techniques to perform these tasks, processing images still presents a number of challenges not encountered when working with just text. This project implements a system allowing for the indexing and searching of collections of images where images are not individually described. Such collections are typically largely unsuitable data material for traditional text-based image search systems. The basic idea underlying this system is to not search for images directly, but instead first search for the collections they are part of. When a set of relevant collections have been found, one can then apply the collection-level semantics to the images belonging to these collections. An important concept in this project is that one image can be a part of several collections. Such images can be identified when collection information is added to the system, allowing one to link the same image to several collections before searches are run. Semantic information from several different collections can then be applied to the same image, potentially giving a better idea of what the image actually depicts. URI: http://hdl.handle.net/10037/1881 File(s) in this item: 2
CD.zip (372.7Mb)thesis.pdf (1.826Mb)
Previous Page
Now showing items 28-30 of 30
Search Munin
Browse
-
All of Munin
-
This Collection
Help
Munin is powered by DSpace 1.8.2
The University Library of Tromsø, N-9037 Tromsø
Tel: +47 77 64 40 00, E-mail: munin@ub.uit.no