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Nicholas Gildea

dblp:46/6283 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
3 papers
Information retrieval · 100%
Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 100%
Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › interactive information retrieval
exploratory search
0.112008
FacetBrowser: a user interface for complex search tasks · ACM Multimedia 2008
Information retrieval
multimedia analysis and retrieval
0.112008
A faceted interface for multimedia search · SIGIR 2008
Information retrieval › search interfaces
video retrieval interfaces
0.112008
A faceted interface for multimedia search · SIGIR 2008
Collaborative and social computing › computer-supported cooperative work › collaborative information seeking
collaborative search
0.112008
Collaborative awareness in multimedia search · ACM Multimedia 2008
Information retrieval
search interfaces
0.012008
A faceted interface for multimedia search · SIGIR 2008
Information retrieval › multimedia analysis and retrieval
video search
0.012008
Collaborative awareness in multimedia search · ACM Multimedia 2008
Multimedia analysis and retrieval
video retrieval
0.012008
FacetBrowser: a user interface for complex search tasks · ACM Multimedia 2008

Methods — techniques the papers use, named apart from their topics

user study · 0.2user interface design · 0.2event log analysis · 0.2
YearPublicationVenuePosition
2008 FacetBrowser: a user interface for complex search tasks
abstract
With the rapid increase in online video services, multimedia retrieval systems are becoming increasingly important search tools to users in many different fields. In this paper we present a novel retrieval interface, "FacetBrowser", which supports the creation of multiple search "facets", to aid users carrying out complex search tasks involving multiple concepts. Each facet represents a different aspect of the search task: an assumption of this work is that search facets are best represented by sub-searches, providing users with flexibility in defining facets on the fly, rather than using pre-defined categories or metadata information as used in many other exploratory search interfaces [3, 8, 17]. Such facets can be organised into "stories" by users, facilitating users in building up sequences of related searches and material which together can be used to satisfy a work task.
Robert Villa, Nicholas Gildea, Joemon M. Jose
ACM Multimedia2
2008 Collaborative awareness in multimedia search
abstract
Awareness of another's activity is an important aspect of facilitating collaboration between users, enabling an "understanding of the activities of others" [1]. Many environments where multimedia search is required are collaborative in nature, such as when a group of artists and animators are engaged in the production of a multimedia product. In this paper we introduce a study which used a novel evaluation methodology, where pairs of users competed to find the most relevant shots for a topic, with the aim of evaluating the role of awareness within an environment conductive to its use. Results based on event log and questionnaire data are reported, and conclusions presented illustrating some of the issues and pitfalls of using awareness in a video search system.
Robert Villa, Nicholas Gildea, Joemon M. Jose
ACM Multimedia2
2008 A faceted interface for multimedia search
abstract
With the rapid increase in online video services, video retrieval systems are becoming increasingly important search tools to many users in many different fields. In this poster we present a novel video retrieval interface, which supports the creation of multiple search "facets", to aid users carrying out complex, multi-faceted search tasks. The interface allows multiple searches to be executed and viewed simultaneously, and allows material to be reorganized between the facets. An experiment is presented which compares the faceted interface to a tabbed interface similar to that on modern web browsers, and some preliminary results are given.
Robert Villa, Nicholas Gildea, Joemon M. Jose
SIGIR2