Search for dissertations about: "image processing dissertation 2010"

Showing result 1 - 5 of 22 swedish dissertations containing the words image processing dissertation 2010.

  1. 1. Expressing emotions through vibrationfor perception and control

    Author : Shafiq ur Réhman; Li Liu; Xiaoyi Jiang; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Multimodal Signal Processing; Mobile Communication; Vibrotactile Rendering; Locally Linear Embedding; Object Detection; Human Facial Expression Analysis; Lip Tracking; Object Tracking; HCI; Expectation-Maximization Algorithm; Lipless Tracking; Image Analysis; Visually Impaired.; TECHNOLOGY Information technology Signal processing; TEKNIKVETENSKAP Informationsteknik Signalbehandling; TECHNOLOGY Information technology Image analysis; TEKNIKVETENSKAP Informationsteknik Bildanalys; TECHNOLOGY Information technology Computer science; TEKNIKVETENSKAP Informationsteknik Datavetenskap; TECHNOLOGY Information technology Telecommunication; TEKNIKVETENSKAP Informationsteknik Telekommunikation; TECHNOLOGY Information technology Systems engineering; TEKNIKVETENSKAP Informationsteknik Systemteknik; datoriserad bildanalys; Computerized Image Analysis; business data processing; administrativ databehandling; Electronics; elektronik; Systems Analysis; systemanalys;

    Abstract : This thesis addresses a challenging problem: “how to let the visually impaired ‘see’ others emotions”. We, human beings, are heavily dependent on facial expressions to express ourselves. A smile shows that the person you are talking to is pleased, amused, relieved etc. READ MORE

  2. 2. Video Signal Processing: Compression Segmentation and Tracking

    Author : Andrew Backhouse; [2010]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Abstract : This thesis considers three separate research problems within the field of video processing.The first is concerned with segmenting an image, the second with tracking an object and the third with the communication of video across an unreliable network.Segmentation is an application-specific problem. READ MORE

  3. 3. Modelling Perceptual Quality and Visual Saliency for Image and Video Communications

    University dissertation from Karlskrona : Blekinge Institute of Technology

    Author : Ulrich Engelke; ; [2010]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Abstract : The evolution of advanced radio transmission technologies for third and future generation mobile radio systems has paved the way for the delivery of mobile multimedia services. This is further enabled through contemporary video coding standards, such as H. READ MORE

  4. 4. Development and evaluation of SAR algorithms for image formation and speed estimation in wideband SAR

    University dissertation from Karlskrona : Blekinge Institute of Technology

    Author : Thomas Sjögren; ; [2010]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Abstract : Remote sensing and surveillance are the main application areas for radar in general and synthetic aperture (SAR) radar in particular. Since the first radar system built by Hülsmeyer in 1904, radar has developed so that it is now able to create images from a large distance. READ MORE

  5. 5. Preferential Coding for Mobile Multimedia Services

    University dissertation from Karlskrona : Blekinge Institute of Technology

    Author : Muhammad Imran Iqbal; ; [2010]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Abstract : Different parts of source encoded multimedia streams such as those associated with standard image or video formats possess different levels of importance with respect to their contribution to the quality of the reconstructed image or video. This unequal importance among data within a codestream gives rise to preferential treatment of the more significant parts of the codestream compared to the less important parts. READ MORE