東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Negotiating the semantic gap in an M...

Li, Xin.

FindBook

Google Book

Amazon

博客來

Negotiating the semantic gap in an MPEG-7 aerial image database.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Negotiating the semantic gap in an MPEG-7 aerial image database./
作者:	Li, Xin.
面頁冊數:	152 p.
附註:	Source: Dissertation Abstracts International, Volume: 66-11, Section: B, page: 6071.
Contained By:	Dissertation Abstracts International66-11B.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3198664
ISBN:	9780542432422

Negotiating the semantic gap in an MPEG-7 aerial image database.
Li, Xin.

Negotiating the semantic gap in an MPEG-7 aerial image database. - 152 p.

Source: Dissertation Abstracts International, Volume: 66-11, Section: B, page: 6071.

Thesis (Ph.D.)--Wayne State University, 2005.

This dissertation presents our research related to content-based retrieval and annotation system for aerial image regions in a database environment. The purpose is to narrow the semantic gap for content-based image retrieval (CBIR) applications in a dynamic interaction context and provide a flexible content description framework in terms of MPEG-7 descriptors through the re-clustering process. Our work contributes to the following aspects: first, we utilize a split and merge process for image segmentation, which is more relevant to human perception, and integrate quadratic distance with latent semantic indexing technique to negotiate semantic gap; second, we illustrate a process to extract emergent semantics in a dynamic context, for example, the system can learn patterns from the users' interaction to perform re-classification and re-segmentation; third, we integrate different MPEG-7 descriptors in a unified framework for our CBIR application in database environment, which not only provides convenience for user interaction, but also improves the performance of our application.

ISBN: 9780542432422Subjects--Topical Terms:

626642
Computer Science.

Negotiating the semantic gap in an MPEG-7 aerial image database.
LDR:03194nmm 2200301 4500 001 1823060
005 20061130093110.5
008 130610s2005 eng d
020 $a 9780542432422
035 $a (UnM)AAI3198664
035 $a AAI3198664
040 $a UnM $c UnM
100 1 $a Li, Xin. $3 999627
245 1 0 $a Negotiating the semantic gap in an MPEG-7 aerial image database.
300 $a 152 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-11, Section: B, page: 6071.
500 $a Advisers: Farshad Fotouhi; William I. Grosky.
502 $a Thesis (Ph.D.)--Wayne State University, 2005.
520 $a This dissertation presents our research related to content-based retrieval and annotation system for aerial image regions in a database environment. The purpose is to narrow the semantic gap for content-based image retrieval (CBIR) applications in a dynamic interaction context and provide a flexible content description framework in terms of MPEG-7 descriptors through the re-clustering process. Our work contributes to the following aspects: first, we utilize a split and merge process for image segmentation, which is more relevant to human perception, and integrate quadratic distance with latent semantic indexing technique to negotiate semantic gap; second, we illustrate a process to extract emergent semantics in a dynamic context, for example, the system can learn patterns from the users' interaction to perform re-classification and re-segmentation; third, we integrate different MPEG-7 descriptors in a unified framework for our CBIR application in database environment, which not only provides convenience for user interaction, but also improves the performance of our application.
520 $a In order to show its effectiveness, we designed a content-based aerial image region retrieval and annotation system, and promising results were obtained. A series of innovative components was developed in our system, of which the application is not restricted to this particular system, but can be used to solve many more general and complicated problems. For example, we built a flexible framework with MPEG-7 descriptors, which was used to support the users in extracting emergent semantics in a dynamic context. This new approach can be widely used in a re-clustering process for CBIR applications. Besides, we explored building an index to support XQuery and XUpdate for a CBIR system in a native XML database environment. Our experience showed we can utilize classification information under certain similarity metric to build an efficient index for content-based retrieval and update.
520 $a Beyond our system, we also propose to integrate different MPEG-7 descriptors in different stages of CBIR applications, building an efficient platform to narrow semantic gap, as we often can only extract semantics in a dynamic query and annotation context.
590 $a School code: 0254.
650 4 $a Computer Science. $3 626642
690 $a 0984
710 2 0 $a Wayne State University. $3 975058
773 0 $t Dissertation Abstracts International $g 66-11B.
790 1 0 $a Fotouhi, Farshad, $e advisor
790 1 0 $a Grosky, William I., $e advisor
790 $a 0254
791 $a Ph.D.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3198664