Integration of a human face annotation technology in an audio-visual search engine platform

Alessandro Bozzon; Marco Brambilla; Piero Fraternali; Pasquale Pigazzini

doi:10.1145/1774088.1774261

Integration of a human face annotation technology in an audio-visual search engine platform

Alessandro Bozzon^*, Marco Brambilla, Piero Fraternali, Pasquale Pigazzini

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

Abstract

Search-Based Web Applications are configurable and customizable platforms for multimedia search over the Web. This paper describes the results of the integration of an annotation component for automatic face recognition within a configurable multimedia Web search platform. We integrate a third-party image analysis technology for human face recognition, by extending it in order to cope with the requirements of video annotation solutions on the Web and wrapping it according to the platform's integration specification. As a result, the annotator outcomes are indexed within the platform and can be used for multi-modal and content-based search. We evaluate our experience in terms of development effort required, indexing performances, and perceived quality of the annotation results.

Original language	English
Title of host publication	Proceedings of the 2010 ACM Symposium on Applied Computing, SAC 2010
Place of Publication	New York, NY
Publisher	Association for Computing Machinery (ACM)
Pages	839-843
Number of pages	5
ISBN (Electronic)	978-1-60558-639-7
ISBN (Print)	978-1-60558-638-0
DOIs	https://doi.org/10.1145/1774088.1774261
Publication status	Published - 2010
Externally published	Yes
Event	25th Annual ACM Symposium on Applied Computing, SAC 2010 - Sierre, Switzerland Duration: 22 Mar 2010 → 26 Mar 2010

Conference

Conference	25th Annual ACM Symposium on Applied Computing, SAC 2010
Country/Territory	Switzerland
City	Sierre
Period	22/03/10 → 26/03/10

Keywords

architectures
audiovisual information retrieval
automatic video annotation
face detection
multimedia
search engine
web search

Access to Document

10.1145/1774088.1774261

Cite this

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title = "Integration of a human face annotation technology in an audio-visual search engine platform",

abstract = "Search-Based Web Applications are configurable and customizable platforms for multimedia search over the Web. This paper describes the results of the integration of an annotation component for automatic face recognition within a configurable multimedia Web search platform. We integrate a third-party image analysis technology for human face recognition, by extending it in order to cope with the requirements of video annotation solutions on the Web and wrapping it according to the platform's integration specification. As a result, the annotator outcomes are indexed within the platform and can be used for multi-modal and content-based search. We evaluate our experience in terms of development effort required, indexing performances, and perceived quality of the annotation results.",

keywords = "architectures, audiovisual information retrieval, automatic video annotation, face detection, multimedia, search engine, web search",

author = "Alessandro Bozzon and Marco Brambilla and Piero Fraternali and Pasquale Pigazzini",

year = "2010",

doi = "10.1145/1774088.1774261",

language = "English",

isbn = "978-1-60558-638-0",

pages = "839--843",

booktitle = "Proceedings of the 2010 ACM Symposium on Applied Computing, SAC 2010",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "25th Annual ACM Symposium on Applied Computing, SAC 2010 ; Conference date: 22-03-2010 Through 26-03-2010",

}

Bozzon, A, Brambilla, M, Fraternali, P & Pigazzini, P 2010, Integration of a human face annotation technology in an audio-visual search engine platform. in Proceedings of the 2010 ACM Symposium on Applied Computing, SAC 2010. Association for Computing Machinery (ACM), New York, NY, pp. 839-843, 25th Annual ACM Symposium on Applied Computing, SAC 2010, Sierre, Switzerland, 22/03/10. https://doi.org/10.1145/1774088.1774261

Integration of a human face annotation technology in an audio-visual search engine platform. / Bozzon, Alessandro; Brambilla, Marco; Fraternali, Piero et al.
Proceedings of the 2010 ACM Symposium on Applied Computing, SAC 2010. New York, NY: Association for Computing Machinery (ACM), 2010. p. 839-843.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Integration of a human face annotation technology in an audio-visual search engine platform

AU - Bozzon, Alessandro

AU - Brambilla, Marco

AU - Fraternali, Piero

AU - Pigazzini, Pasquale

PY - 2010

Y1 - 2010

N2 - Search-Based Web Applications are configurable and customizable platforms for multimedia search over the Web. This paper describes the results of the integration of an annotation component for automatic face recognition within a configurable multimedia Web search platform. We integrate a third-party image analysis technology for human face recognition, by extending it in order to cope with the requirements of video annotation solutions on the Web and wrapping it according to the platform's integration specification. As a result, the annotator outcomes are indexed within the platform and can be used for multi-modal and content-based search. We evaluate our experience in terms of development effort required, indexing performances, and perceived quality of the annotation results.

AB - Search-Based Web Applications are configurable and customizable platforms for multimedia search over the Web. This paper describes the results of the integration of an annotation component for automatic face recognition within a configurable multimedia Web search platform. We integrate a third-party image analysis technology for human face recognition, by extending it in order to cope with the requirements of video annotation solutions on the Web and wrapping it according to the platform's integration specification. As a result, the annotator outcomes are indexed within the platform and can be used for multi-modal and content-based search. We evaluate our experience in terms of development effort required, indexing performances, and perceived quality of the annotation results.

KW - architectures

KW - audiovisual information retrieval

KW - automatic video annotation

KW - face detection

KW - multimedia

KW - search engine

KW - web search

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DO - 10.1145/1774088.1774261

M3 - Conference contribution

AN - SCOPUS:77954738960

SN - 978-1-60558-638-0

SP - 839

EP - 843

BT - Proceedings of the 2010 ACM Symposium on Applied Computing, SAC 2010

PB - Association for Computing Machinery (ACM)

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T2 - 25th Annual ACM Symposium on Applied Computing, SAC 2010

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ER -

Integration of a human face annotation technology in an audio-visual search engine platform

Abstract

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Keywords

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