| Paper Abstract and Keywords |
| Presentation |
2017-02-20 16:15
Feedback assisted multi-modality reranking for video search improvement
Takamasa Fujii, Soh Yoshida, Mitsuji Muneyasu (Kansai Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Video reranking is an effective way for improving the retrieval performance of keyword-based video search engines. A fundamental issue underlying the success of existing video reranking approaches is the ability in identifying potentially useful recurrent patterns from the initial search results. These patterns can be leveraged to upgrade the ranks of visually similar videos, which are also likely to be relevant. However, mining useful patterns without understanding query may lead to incorrect judgment in reranking. We explore the user selected data, which can be viewed as the footprints of user searching behavior, as an effective means of understanding query, for providing the basis on identifying the recurrent patterns that are potentially helpful for reranking. In this paper, a new reranking algorithm, named user feedback assisted multi-modality reranking, is proposed. The algorithm leverages selected videos to locate similar videos that are not selected, and reranks them in a multi-modality learning scheme. Experimental results obtained by applying the proposed method to a real-world video collection show its effectiveness. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
video search / user feedback / reranking / / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 41, no. 5, ME2017-39, pp. 93-97, Feb. 2017. |
| Paper # |
ME2017-39 |
| Date of Issue |
2017-02-13 (MMS, CE, HI, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
CE MMS AIT HI ME IEICE-ITS IEICE-IE |
| Conference Date |
2017-02-20 - 2017-02-21 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokkaido Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Image Processing, etc. |
| Paper Information |
| Registration To |
ME |
| Conference Code |
2017-02-CE-MMS-AIT-HI-ME-ITS-IE |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Feedback assisted multi-modality reranking for video search improvement |
| Sub Title (in English) |
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| Keyword(1) |
video search |
| Keyword(2) |
user feedback |
| Keyword(3) |
reranking |
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| 1st Author's Name |
Takamasa Fujii |
| 1st Author's Affiliation |
Kansai University (Kansai Univ.) |
| 2nd Author's Name |
Soh Yoshida |
| 2nd Author's Affiliation |
Kansai University (Kansai Univ.) |
| 3rd Author's Name |
Mitsuji Muneyasu |
| 3rd Author's Affiliation |
Kansai University (Kansai Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2017-02-20 16:15:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
MMS2017-15, CE2017-15, HI2017-15, ME2017-39, AIT2017-15 |
| Volume (vol) |
vol.41 |
| Number (no) |
no.5 |
| Page |
pp.93-97 |
| #Pages |
5 |
| Date of Issue |
2017-02-13 (MMS, CE, HI, ME, AIT) |