Faceted Metadata for Image Search and Browsing

Faceted Metadata for Image Search and Browsing (2003)

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by Ka-Ping Yee , Kirsten Swearingen , Kevin Li , Marti Hearst

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Datum	Value	Source
TITLE	Faceted Metadata for Image Search and Browsing	user correction - Legacy Corrections
AUTHOR NAME	Ka-Ping Yee	user correction - Legacy Corrections
AUTHOR AFFIL	1Computer Science Division; 2School of Information Management and Systems; University of California, Berkeley University of California, Berkeley	user correction - Legacy Corrections
AUTHOR NAME	Kirsten Swearingen	user correction - Legacy Corrections
AUTHOR AFFIL	1Computer Science Division; 2School of Information Management and Systems; University of California, Berkeley University of California, Berkeley	user correction - Legacy Corrections
AUTHOR NAME	Kevin Li	user correction - Legacy Corrections
AUTHOR AFFIL	1Computer Science Division; 2School of Information Management and Systems; University of California, Berkeley University of California, Berkeley	user correction - Legacy Corrections
AUTHOR NAME	Marti Hearst	user correction - Legacy Corrections
AUTHOR AFFIL	1Computer Science Division; 2School of Information Management and Systems; University of California, Berkeley University of California, Berkeley	user correction - Legacy Corrections
ABSTRACT	There are currently two dominant interface types for searching and browsing large image collections: keywordbased search, and searching by overall similarity to sample images. We present an alternative based on enabling users to navigate along conceptual dimensions that describe the images. The interface makes use of hierarchical faceted metadata and dynamically generated query previews. A usability study, in which 32 art history students explored a collection of 35,000 fine arts images, compares this approach to a standard image search interface. Despite the unfamiliarity and power of the interface (attributes that often lead to rejection of new search interfaces), the study results show that 90% of the participants preferred the metadata approach overall, 97% said that it helped them learn more about the collection, 75% found it more flexible, and 72% found it easier to use than a standard baseline system. These results indicate that a category-based approach is a successful way to provide access to image collections.	user correction - Legacy Corrections
YEAR	2003	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	401--408	INFERENCE
CITATIONS	18 found	ParsCit 1.0