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- W2132577495 abstract "This paper presents photo table of contents (PhotoTOC), a system that helps users find digital photographs in their own collection of photographs. PhotoTOC is a browsing user interface that uses an overview+detail design. The detail view is a temporally ordered list of all of the user's photographs. The overview of the user's collection is automatically generated by an image clustering algorithm, which clusters on the creation time and the color of the photographs. PhotoTOC was tested on users' own photographs against three other browsers. Searching for images with PhotoTOC was subjectively rated easier than all of the other browsers. This result shows that automatic organization of personal photographs facilitates efficient and satisfying search." @default.
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- W2132577495 date "2004-07-09" @default.
- W2132577495 modified "2023-10-16" @default.
- W2132577495 title "PhotoTOC: automatic clustering for browsing personal photographs" @default.
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- W2132577495 doi "https://doi.org/10.1109/icics.2003.1292402" @default.
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