Sökning: "Image Retrieval"
Visar resultat 1 - 5 av 65 avhandlingar innehållade orden Image Retrieval.
1. Representation Learning and Information Fusion : Applications in Biomedical Image Processing
Sammanfattning : In recent years Machine Learning and in particular Deep Learning have excelled in object recognition and classification tasks in computer vision. As these methods extract features from the data itself by learning features that are relevant for a particular task, a key aspect of this remarkable success is the amount of data on which these methods train. LÄS MER
2. Image Processing and Analysis Methods for Biomedical Applications
Sammanfattning : With new technologies and developments medical images can be acquired more quickly and at a larger scale than ever before. However, increased amount of data induces an overhead in the human labour needed for its inspection and analysis. LÄS MER
3. Topics in Content Based Image Retrieval : Fonts and Color Emotions
Sammanfattning : Two novel contributions to Content Based Image Retrieval are presented and discussed. The first is a search engine for font recognition. The intended usage is the search in very large font databases. The input to the search engine is an image of a text line, and the output is the name of the font used when printing the text. LÄS MER
4. Retrieval practice and individual differences : exploring factors relevant to the benefit and use of retrieval practice
Sammanfattning : When students are studying outside of the classroom, they tend to use learning strategies that research has found to be relatively ineffective. This is problematic as a relatively large proportion of students do not finish compulsory school and/or upper-secondary school with sufficient grades. LÄS MER
5. Efficient Image Retrieval with Statistical Color Descriptors
Sammanfattning : Color has been widely used in content-based image retrieval (CBIR) applications. In such applications the color properties of an image are usually characterized by the probability distribution of the colors in the image. LÄS MER