Object pooling for multimedia event detection and evidence localization
Multimedia event detection (MED) and evidence hunting are two primary topics in the area of multimedia event search. The former serves to retrieve a list of relevant videos given an event query, whereas, the latter reasons why and how much the degree a retrieved video answers that query. Common prac...
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sg-smu-ink.sis_research-73662021-11-23T02:53:44Z Object pooling for multimedia event detection and evidence localization ZHANG, Ho NGO, Chong-Wah NGO, Chong-wah Multimedia event detection (MED) and evidence hunting are two primary topics in the area of multimedia event search. The former serves to retrieve a list of relevant videos given an event query, whereas, the latter reasons why and how much the degree a retrieved video answers that query. Common practices deal with these two topics in separate methods, however, in this paper, we combine MED and evidence hunting into a joint framework. We propose a refined semantical representation named object pooling which can dynamically extract visual snippets corresponding to the location of when and where evidences might appear. The main idea of object pooling is to adaptively sample regions from frames for generation of object histogram that can be efficiently rolled up and back. Experiments conducted on large-scale TRECVID MED 2014 dataset demonstrate the effectiveness of proposed object pooling approach on both event detection and evidence hunting. 2016-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6363 info:doi/10.3169/mta.4.218 https://ink.library.smu.edu.sg/context/sis_research/article/7366/viewcontent/4_218__1_.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Event Modeling Object Pooling Search Result Reasoning Computer Sciences Graphics and Human Computer Interfaces |
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Event Modeling Object Pooling Search Result Reasoning Computer Sciences Graphics and Human Computer Interfaces ZHANG, Ho NGO, Chong-Wah NGO, Chong-wah Object pooling for multimedia event detection and evidence localization |
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Multimedia event detection (MED) and evidence hunting are two primary topics in the area of multimedia event search. The former serves to retrieve a list of relevant videos given an event query, whereas, the latter reasons why and how much the degree a retrieved video answers that query. Common practices deal with these two topics in separate methods, however, in this paper, we combine MED and evidence hunting into a joint framework. We propose a refined semantical representation named object pooling which can dynamically extract visual snippets corresponding to the location of when and where evidences might appear. The main idea of object pooling is to adaptively sample regions from frames for generation of object histogram that can be efficiently rolled up and back. Experiments conducted on large-scale TRECVID MED 2014 dataset demonstrate the effectiveness of proposed object pooling approach on both event detection and evidence hunting. |
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ZHANG, Ho NGO, Chong-Wah NGO, Chong-wah |
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ZHANG, Ho NGO, Chong-Wah NGO, Chong-wah |
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ZHANG, Ho |
title |
Object pooling for multimedia event detection and evidence localization |
title_short |
Object pooling for multimedia event detection and evidence localization |
title_full |
Object pooling for multimedia event detection and evidence localization |
title_fullStr |
Object pooling for multimedia event detection and evidence localization |
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Object pooling for multimedia event detection and evidence localization |
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object pooling for multimedia event detection and evidence localization |
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Institutional Knowledge at Singapore Management University |
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2016 |
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https://ink.library.smu.edu.sg/sis_research/6363 https://ink.library.smu.edu.sg/context/sis_research/article/7366/viewcontent/4_218__1_.pdf |
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