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Honours Project Proposal Sanvir Manilal Lebogang Molwantoa Kyle Williams Project Supervisor: Dr Hussein Suleman 22 May 2009 Bushman OnLine Dictionary.

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Presentation on theme: "Honours Project Proposal Sanvir Manilal Lebogang Molwantoa Kyle Williams Project Supervisor: Dr Hussein Suleman 22 May 2009 Bushman OnLine Dictionary."— Presentation transcript:

1 Honours Project Proposal Sanvir Manilal Lebogang Molwantoa Kyle Williams Project Supervisor: Dr Hussein Suleman 22 May 2009 Bushman OnLine Dictionary

2  The Bleek and Lloyd Collection is set of indigenous artefacts.  Project aims to integrate a collection of digital scans corresponding to a dictionary to the existing Bleek and Lloyd Collection.

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4  Image-based dictionary matches a word to an image.  Image-based dictionary for indigenous languages – used as live reference.  Aim to integrate collection of digital scans as image-based dictionary.

5  Is it possible to create a reusable, generic archival system that allows users to access an image-based dictionary?

6  Key-features:  Archive Collection Management  Lebogang Molwantoa  Search and Browsing functionality  Sanvir Manilal  Image-based translation.  Kyle Williams

7 High-level overview of system design Lebogang Molwantoa Sanvir Manilal Kyle Williams

8  Research Question tackled:  Can we develop a useful and efficient archival system for an image-based dictionary?  Archive management collection component of the project can be considered as back end to the system.

9  Archive is a repository for scanned images and associated metadata.  Extensible and allow easy update via API.  Size and complexity presents a challenge

10  Can we develop a useful and efficient archival system?  Efficient archive capable of processing and archiving large numbers of images efficiently.

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13  Research Question: Can image based searching be done accurately and efficiently?  Needs to return correct results  Needs to return results in short amount of time

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15  Subset of CBIR specifically for handwritten historical documents  Performs image matching on images of words  Used to find repeat occurrences of words in manuscripts

16  Look at features of word/phrase  Create signature for word/phrase based on feature vector  Insert signature into database

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18  User selects word/phrase in collection  Signature is calculated  Signature is used to search for matches in archive

19  Accuracy?  Evaluation based on controlled tests as well as random tests  Key success will be the ability to accurately and efficiently provide image based translation

20  Requirements gathering  UCT Fine arts  Iterative design and development  Three prototyping phases  Carrying out periodic evaluation with users  Final system integration  Carrying out evaluation of the overall system functioning and performance

21  Research question tackled:  Can searching and browsing a visual dictionary be done in an efficient and effective way?  Unique problem

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24  A few techniques:  Live Search  Inexact pattern matching  Thumbnails  Hyperlinks  Scrollable list of words

25  Evaluation:  Efficiency  Performance  Effectiveness  Aesthetics

26  Fully working system with three key components Archive – Lebogang Molwantoa Tools for searching and displaying – Sanvir Manilal Image matching tool – Kyle Williams  Reports, website, poster, reflections – Everyone

27  Three component project  Iterative design  Evaluation  Questions?


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