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CAIM
PROTOTYPES

UiB:
  • The MMIR4 - Mobile Multimedia Image Retrieval - prototype extends MMIR3, with 2 new features:
    1) Support for storing the results of a search on the phone so that they can be viewed at a later time and
    2) Selection of a search image from the phone's memory.
    Result sets now consist of pages of 6 images, which better fit the N5800 phone display screen. MMIR4 now returns both a text and audio description of the principle object(s) in the selected image(s). MMIR4 has been developed for Nokia's N5800 m-phone which has a sketch pad interface, and gps. The prototype is documented in Parmann,E. MMIR4 - Mobile Multimedia Image Retrieval (ver.4). 2010.

  • The MMIR3 - Mobile Multimedia Image Retrieval - prototype extends MMIR2 with support for drawing the seed image and selecting a segment of a photograph for use as a seed image. In addition to presentation of result sets of 4 images, the system returns both a text and audio description of the principle object in the selected image(s). MMIR3 has been developed for Nokia's N5800 m-phone which has a sketch pad interface, and gps. MMIR3 is documented in Hellevang,M. MMIR3 - Mobile Multimedia Image Retrieval (ver.3). 2009.

  • The MMIR2 - Mobile Multimedia Image Retrieval - prototype has been developed for the Nokia N95 mobile phone to utilize its GPS positioning and image capture for image retrieval from the BergenBy image database. The prototype is documented in Hellevang, M. MMIR2 - Mobile Multimedia Image Retrieval (ver.2). 2008 .

  • The BergenBy database currently (Nov.2010) contains nearly 600 images of 50+ buildings, statues, monuments, and street scenes within the Bergen city area. Each object annotation includes both a text and audio description. The images include full object photographs, historic photographs, machine created drawings and images of object details, such as a church door or window. The DB is described in both Langøy's 2008 report BergenBy Database & Metadata Editor and in Møller's 2009 report Bergen By - a Multi-Modal Image Database.

  • The VISI4/BergenBy prototype extends VISI3 functionality with support for context aware feedback. Result sets are now presented in pages of 8 images for which the user can mark relevant images. On submission of the images, keywords are presented to the user for further refinement of the result set.
    VISI4 also includes an improved ranking image for CBIR+TBIR searches. The prototype is documented in Døskeland,Ø. VISI4 - Supporting Relevance Feedback in Context Aware Image Retrieval, 2010.

  • The VISI3/BergenBy prototype is a full rewrite in Java of VISI-2 which extends VISI2 functionality with presentation of more information about the images in the result set. VISI3 also includes an improved ranking image for CBIR+TBIR searches. The prototype is documented in Carlson, C. VISI3 - Context Aware Image Retrieval. 2009

  • The VISI2/BergenBy prototype extends VISI-1 with support for utilization of context variables in visual image retrieval. Currently, VISI2 supports image retrieval using image content (CBIR), text descriptors (TBIR) and GPS location specifications. Aslo supported are CBIR+GPS and CBIR+TBIR input combinations.

  • The VISI-1 prototype provides an image retrieval system for exploring basic CBIR (Content-based image retrieval) techniques as implemented in Oracle's image search functions. It was adapted for the CAIM project in the summer of 2007 by application of the initial Bergen/By database.


  • The VISI/Maritime prototype supports visual image retrieval (CBIR) using uploaded images or user constructed drawings.

  • The Maritime database contains 400+ images of predominently, marine animals.

 

Telenor:
    The Telenor prototypes are described in Sigmund Akselsen, Bente Evjemo and Anders Schürmann. (2008) CAIM Prototypes. CAIM project meeting, Tromsø 25.09.2008 Telenor R&I, Products and Markets

  • M2S - Tourist information in multiple channels(images of info guide ads)

  • TIFF - Tromsø International Film Festival event assistant (barcodes).

  • Smart Binoculars - Points of Interest info in images (camera position, direction and depth of field)

  • Visual search client for iPhone (general content based image recognition)

  • TVG - Tromsø Visual Guide (images of sculptures and buildings, position, ads)

 

Modified: 03.11.2010 © University of Bergen - by: [an error occurred while processing this directive] Lars-Jacob Hove