A WWW-based intelligent multimedia information query and retrieve system

Y. Y. Xu; H. C. Fu; Hsiao-Tien Pao

doi:10.1109/ICME.2000.871465

A WWW-based intelligent multimedia information query and retrieve system

Y. Y. Xu^*, H. C. Fu, Hsiao-Tien Pao

^*Corresponding author for this work

Department of Management Science

Research output: Contribution to conference › Paper › peer-review

Abstract

In this paper, we propose and implement a World Wide Web based video query system: The Intelligent Multimedia Information Processing System (IMIPS). The IMIPS first collects videos available over the WWW, analyzes these videos to extract keyframes, and indexes these keyframes at a local database. By using the proposed Multiple-Instance learning algorithm, a user can select a few keyframes to train a desired image query model. When a query model is selected, the proposed IMIPS will retrieve matched images from the local database, and display them as a small icon at the user interface. Then a user can click on the interested icon to retrieve and to play the video from the original web site. According to the implemented prototype system, a user can find one's desired videos on the WWW with only a few (2-3) times of retraining to achieve 70% hit rate on 50 retrieved videos among 5 different query models.

Original language	English
Pages	731-734
Number of pages	4
DOIs	https://doi.org/10.1109/ICME.2000.871465
State	Published - 30 Jul 2000
Event	2000 IEEE International Conference on Multimedia and Expo (ICME 2000) - New York, NY, United States Duration: 30 Jul 2000 → 2 Aug 2000

Conference

Conference	2000 IEEE International Conference on Multimedia and Expo (ICME 2000)
Country/Territory	United States
City	New York, NY
Period	30/07/00 → 2/08/00

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10.1109/ICME.2000.871465

Cite this

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title = "A WWW-based intelligent multimedia information query and retrieve system",

abstract = "In this paper, we propose and implement a World Wide Web based video query system: The Intelligent Multimedia Information Processing System (IMIPS). The IMIPS first collects videos available over the WWW, analyzes these videos to extract keyframes, and indexes these keyframes at a local database. By using the proposed Multiple-Instance learning algorithm, a user can select a few keyframes to train a desired image query model. When a query model is selected, the proposed IMIPS will retrieve matched images from the local database, and display them as a small icon at the user interface. Then a user can click on the interested icon to retrieve and to play the video from the original web site. According to the implemented prototype system, a user can find one's desired videos on the WWW with only a few (2-3) times of retraining to achieve 70% hit rate on 50 retrieved videos among 5 different query models.",

author = "Xu, {Y. Y.} and Fu, {H. C.} and Hsiao-Tien Pao",

year = "2000",

month = jul,

day = "30",

doi = "10.1109/ICME.2000.871465",

language = "English",

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AU - Fu, H. C.

AU - Pao, Hsiao-Tien

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N2 - In this paper, we propose and implement a World Wide Web based video query system: The Intelligent Multimedia Information Processing System (IMIPS). The IMIPS first collects videos available over the WWW, analyzes these videos to extract keyframes, and indexes these keyframes at a local database. By using the proposed Multiple-Instance learning algorithm, a user can select a few keyframes to train a desired image query model. When a query model is selected, the proposed IMIPS will retrieve matched images from the local database, and display them as a small icon at the user interface. Then a user can click on the interested icon to retrieve and to play the video from the original web site. According to the implemented prototype system, a user can find one's desired videos on the WWW with only a few (2-3) times of retraining to achieve 70% hit rate on 50 retrieved videos among 5 different query models.

AB - In this paper, we propose and implement a World Wide Web based video query system: The Intelligent Multimedia Information Processing System (IMIPS). The IMIPS first collects videos available over the WWW, analyzes these videos to extract keyframes, and indexes these keyframes at a local database. By using the proposed Multiple-Instance learning algorithm, a user can select a few keyframes to train a desired image query model. When a query model is selected, the proposed IMIPS will retrieve matched images from the local database, and display them as a small icon at the user interface. Then a user can click on the interested icon to retrieve and to play the video from the original web site. According to the implemented prototype system, a user can find one's desired videos on the WWW with only a few (2-3) times of retraining to achieve 70% hit rate on 50 retrieved videos among 5 different query models.

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T2 - 2000 IEEE International Conference on Multimedia and Expo (ICME 2000)

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A WWW-based intelligent multimedia information query and retrieve system

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