Organizing information: principles of data base and retrieval systems
Organizing information: principles of data base and retrieval systems
Language and representation in information retrieval
Language and representation in information retrieval
Journal of the American Society for Information Science
Some issues in the indexing of images
Journal of the American Society for Information Science
Attributes of images in describing tasks
Information Processing and Management: an International Journal
User reactions as access mechanism: an exploration based on captions for images
Journal of the American Society for Information Science
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
An analysis of image queries in the field of art history
Journal of the American Society for Information Science and Technology
Image searching on the Excite web search engine
Information Processing and Management: an International Journal
A conceptual framework and empirical research for classifying visual descriptors
Journal of the American Society for Information Science and Technology
End-User Searching Challenges Indexing Practices inthe Digital Newspaper Photo Archive
Information Retrieval
User's relevance criteria in image retrieval in American history
Information Processing and Management: an International Journal - Issues of context in information retrieval
Faceted metadata for image search and browsing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Searching for images: the analysis of users' queries for image retrieval in American history
Journal of the American Society for Information Science and Technology
Classification of user image descriptions
International Journal of Human-Computer Studies
Content-based image retrieval: approaches and trends of the new age
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Image retrieval and perceptual similarity
ACM Transactions on Applied Perception (TAP)
Searching and browsing text collections with large category hierarchies
CHI EA '97 CHI '97 Extended Abstracts on Human Factors in Computing Systems
Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
Exploring personal information
Communications of the ACM - Supporting exploratory search
Clustering versus faceted categories for information exploration
Communications of the ACM - Supporting exploratory search
Find that photo!: interface strategies to annotate, browse, and share
Communications of the ACM - Supporting exploratory search
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Indexing Multimedia and Creative Works: The Problems of Meaning and Interpretation
Indexing Multimedia and Creative Works: The Problems of Meaning and Interpretation
Web search engine multimedia functionality
Information Processing and Management: an International Journal
Theories of cognition and image categorization: What category labels reveal about basic level theory
Journal of the American Society for Information Science and Technology
Theories of cognition and image categorization: What category labels reveal about basic level theory
Journal of the American Society for Information Science and Technology
Towards a user-oriented thesaurus for non-domain-specific image collections
Information Processing and Management: an International Journal
A user study to investigate semantically relevant contextual information of WWW images
International Journal of Human-Computer Studies
A new model for semantic photograph description combining basic levels and user-assigned descriptors
Journal of Information Science
Proceedings of the international conference on Multimedia
Development and evaluation of a multifaceted magazine image categorization model
Journal of the American Society for Information Science and Technology
Citizen science 2.0: data management principles to harness the power of the crowd
DESRIST'11 Proceedings of the 6th international conference on Service-oriented perspectives in design science research
Conceptual syntagmatic associations in user tagging
Journal of the American Society for Information Science and Technology
Role of domain knowledge in developing user-centered medical-image indexing
Journal of the American Society for Information Science and Technology
Social tag enrichment via automatic abstract tag refinement
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Basic-level categories: A review
Journal of Information Science
Automatic Abstract Tag Detection for Social Image Tag Refinement and Enrichment
Journal of Signal Processing Systems
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Although images are visual information sources with little or no text associated with them, users still tend to use text to describe images and formulate queries. This is because digital libraries and search engines provide mostly text query options and rely on text annotations for representation and retrieval of the semantic content of images. While the main focus of image research is on indexing and retrieval of individual images, the general topic of image browsing and indexing, and retrieval of groups of images has not been adequately investigated. Comparisons of descriptions of individual images as well as labels of groups of images supplied by users using cognitive models are scarce. This work fills this gap. Using the basic level theory as a framework, a comparison of the descriptions of individual images and labels assigned to groups of images by 180 participants in three studies found a marked difference in their level of abstraction. Results confirm assertions by previous researchers in LIS and other fields that groups of images are labeled using more superordinate level terms while individual image descriptions are mainly at the basic level. Implications for design of image browsing interfaces, taxonomies, thesauri, and similar tools are discussed.