Search for dissertations about: "content based image retrieval"

Showing result 1 - 5 of 6 swedish dissertations containing the words content based image retrieval.

  1. 1. Topics in Content Based Image Retrieval Fonts and Color Emotions

    University dissertation from Linköping : Linköping University Electronic Press

    Author : Martin Solli; Linköpings universitet.; Linköpings universitet.; [2009]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; image analysis; content based image retrieval; font recognition; color emotions; TECHNOLOGY Information technology Image analysis; TEKNIKVETENSKAP Informationsteknik Bildanalys;

    Abstract : 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. READ MORE

  2. 2. Efficient Image Retrieval with Statistical Color Descriptors

    University dissertation from Linköping : Linköping University Electronic Press

    Author : Linh Viet Tran; Linköpings universitet.; Linköpings universitet.; [2003]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; color properties; images; statistical; content-based image retrieval CBIR ; non-parametric density estimators; image database; Kernel; Gram-Schmidt; geometry-based; SOCIAL SCIENCES Statistics; computer and systems science Informatics; computer and systems science Information technology; SAMHÄLLSVETENSKAP Statistik; data- och systemvetenskap Informatik; data- och systemvetenskap Informationsteknologi;

    Abstract : 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. READ MORE

  3. 3. Group-Theoretical Structure in Multispectral Color and Image Databases

    University dissertation from Institutionen för teknik och naturvetenskap

    Author : Thanh Hai Bui; Linköpings universitet.; Linköpings universitet.; [2005]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; group theory; PCA Principal Component Analysis ; CBIR; Content-based Image Retrieval ; filter; color; image; multispectral; database; TECHNOLOGY Information technology Signal processing; TEKNIKVETENSKAP Informationsteknik Signalbehandling;

    Abstract : Many applications lead to signals with nonnegative function values. Understanding the structure of the spaces of nonnegative signals is therefore of interest in many different areas. Hence, constructing effective representation spaces with suitable metrics and natural transformations is an important research topic. READ MORE

  4. 4. Color Emotions in Large Scale Content Based Image Indexing

    University dissertation from Linköping : Linköping University Electronic Press

    Author : Martin Solli; Linköpings universitet.; Linköpings universitet.; [2011]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TECHNOLOGY; TEKNIKVETENSKAP;

    Abstract : Traditional content based image indexing aims at developing algorithms that can analyze and index images based on their visual content. A typical approach is to measure image attributes, like colors or textures, and save the result in image descriptors, which then can be used in recognition and retrieval applications. READ MORE

  5. 5. Salient Region Detection Methods with Application to Traffic Sign Recognition from Street View Images

    University dissertation from Chalmers University of Technology

    Author : Keren Fu; Chalmers tekniska högskola.; Chalmers University of Technology.; [2016]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; color contrast; geodesics; adaptive graph edge weights; saliency propagation; manifold; Salient region detection; continuous conditional random field; color distribution; traffic sign recognition; normalized cut;

    Abstract : In the computer vision community, saliency detection refers to modeling the selective mechanism in human visual attentions. Outputs of saliency detection algorithms are called saliency maps, which represent conspicuousness levels of different scene areas. READ MORE