Image information measurement for video retrieval
To meet the speed and performance requirements, Sub-region entropy based image information measurement (SEII)method was proposed, which integrates the salie region detection, region division and features fusion. And, performance evaluation method was designed and many experiments were carried out, p...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2016-02-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016033/ |
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| _version_ | 1841539579497152512 |
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| author | Qing-sheng YUAN Dong-ming ZHANG Guo-qing JIN Fei LIU Xiu-guo BAO |
| author_facet | Qing-sheng YUAN Dong-ming ZHANG Guo-qing JIN Fei LIU Xiu-guo BAO |
| author_sort | Qing-sheng YUAN |
| collection | DOAJ |
| description | To meet the speed and performance requirements, Sub-region entropy based image information measurement (SEII)method was proposed, which integrates the salie region detection, region division and features fusion. And, performance evaluation method was designed and many experiments were carried out, proving SEII coordinates with human vision evaluation.Also,SEII is evaluated in a real video retrieval system,which shows increase about 4.4% of mAP with 1.5 times speedup. |
| format | Article |
| id | doaj-art-62d72772367042809993f06022ee04d5 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-02-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-62d72772367042809993f06022ee04d52025-01-14T06:54:48ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-02-0137818859699126Image information measurement for video retrievalQing-sheng YUANDong-ming ZHANGGuo-qing JINFei LIUXiu-guo BAOTo meet the speed and performance requirements, Sub-region entropy based image information measurement (SEII)method was proposed, which integrates the salie region detection, region division and features fusion. And, performance evaluation method was designed and many experiments were carried out, proving SEII coordinates with human vision evaluation.Also,SEII is evaluated in a real video retrieval system,which shows increase about 4.4% of mAP with 1.5 times speedup.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016033/video retrievalkey frame selectionimage informationsalient regionfeatures fusion |
| spellingShingle | Qing-sheng YUAN Dong-ming ZHANG Guo-qing JIN Fei LIU Xiu-guo BAO Image information measurement for video retrieval Tongxin xuebao video retrieval key frame selection image information salient region features fusion |
| title | Image information measurement for video retrieval |
| title_full | Image information measurement for video retrieval |
| title_fullStr | Image information measurement for video retrieval |
| title_full_unstemmed | Image information measurement for video retrieval |
| title_short | Image information measurement for video retrieval |
| title_sort | image information measurement for video retrieval |
| topic | video retrieval key frame selection image information salient region features fusion |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016033/ |
| work_keys_str_mv | AT qingshengyuan imageinformationmeasurementforvideoretrieval AT dongmingzhang imageinformationmeasurementforvideoretrieval AT guoqingjin imageinformationmeasurementforvideoretrieval AT feiliu imageinformationmeasurementforvideoretrieval AT xiuguobao imageinformationmeasurementforvideoretrieval |