content-based retrieval造句
例句與造句
- Design of content - based retrieval in remote sensing image database
遙感影像數(shù)據(jù)庫基于內(nèi)容檢索系統(tǒng)的構(gòu)建 - The design and research for a model of content - based retrieval in remote sensing image
一種遙感影像基于內(nèi)容檢索模型的研究與設(shè)計 - The creation of large multimedia information makes the content - based retrieval technology become a research focus
大量多媒體化信息的產(chǎn)生使得基于內(nèi)容的檢索技術(shù)成為研究的熱點(diǎn)。 - It also has the application in a wide range of fields such as automatic face recognition , visual surveillance and content - based retrieval
而且在自動人臉識別系統(tǒng)、視覺監(jiān)控、基于內(nèi)容的檢索等領(lǐng)域都有著廣泛的應(yīng)用。 - Content - based retrieval ( cbr ) as a current seaching means of the urgent demand in multi - media database system has been a subject needed to be researched
按內(nèi)容檢索是目前多媒體數(shù)據(jù)庫系統(tǒng)迫切需要的查詢手段，也是急待研究的課題。 - It's difficult to find content-based retrieval in a sentence. 用content-based retrieval造句挺難的
- Content - based retrievals , or cbr , is totally a new concept and approach of the solution for retrieving data from vast amount of audio - visual ( multimedia ) content has been produced
關(guān)于基于內(nèi)容的檢索( content - basedretdevals ，簡稱cbr )也是一個全新的概念，是對檢索問題的一種新的思維方式。 - The main idea for content - based retrieval is to create a set of features that can efficiently describe 3d models . we often use high - dimension feature vectors to achieve this goal , however , the large amount computation will make exhaustive retrieval infeasible
基于內(nèi)容檢索的主要思想是用一組特征來表示三維模型,通過比較待檢索模型和數(shù)據(jù)庫里的模型的特征的相似性得到檢索的結(jié)果。 - The forth part discusses another information retrieval technique - content - based retrieval techniques . it mainly the studies the static graphic retrieval and video retrieval . there are some writer " s new view when analyses the static graphic retrieval
第四部分分析討論了檢索技術(shù)的另一分支? ?基于內(nèi)容的檢索技術(shù)，主要從靜止圖像檢索和視頻檢索兩個方面進(jìn)行分析研究，尤其是在闡述靜止圖像檢索的檢索時，提出了自己獨(dú)到的見解。 - Content - based retrieval has become the most active research problem in the field of multimedia information searches . in this paper , we first discusssed some key technologies of query and retrieval on multimedia database . then we focus on content - based retrieval
本文首先討論了多媒體數(shù)據(jù)庫查詢檢索的一些相關(guān)技術(shù)問題，然后重點(diǎn)討論了基于內(nèi)容的檢索，并結(jié)合qbe （ querybyexample ）查詢方法，設(shè)計了一個基于內(nèi)容的多媒體查詢語言。 - This multimedia engine is separate from database system , can be exploited , installed and applied independently on most database release , it make the relational database management system can support management and content - based retrieval of multimedia data
多媒體數(shù)據(jù)庫引擎從數(shù)據(jù)庫系統(tǒng)中分離出來，它能被開發(fā)、安裝和獨(dú)立地應(yīng)用在所有發(fā)行的大型關(guān)系型數(shù)據(jù)庫產(chǎn)品中，使現(xiàn)有的關(guān)系型數(shù)據(jù)庫管理系統(tǒng)能夠支持時多媒體數(shù)據(jù)的管理及基于內(nèi)容的檢索。 - Via analysis of the hiberarchy of image retrieval and the essential conception of relevance feedback , image data model and model of content - based & relevance feedback image retrieval were , put forward ; we design the content - based retrieval arithmetic and relevance feedback arithmetic , including the arithmetic of feedback and sematics extract & retrieval ; we have made a system : fiship which realize content - based and relevance feedback image retrieval
通過分析圖像檢索的層次和相關(guān)反饋的基本概念與思想，提出了圖像數(shù)據(jù)模型及基于內(nèi)容與相關(guān)反饋的圖像檢索模型；設(shè)計了基于內(nèi)容圖像檢索算法及相關(guān)反饋算法，包括基于圖像視覺特征的檢索及相關(guān)反饋算法、語義提取與檢索算法；實(shí)現(xiàn)了圖像檢索系統(tǒng)fiship 。 - In retrieval algorithm , a row - column coded retrieval algorithm is developed , which is robust to the frame shift and illumination changing . a novel hierarchical architecture to organize different algorithms in content - based retrieval is proposed . experiment shows that this architecture improves the retrieval efficiency
在檢索算法方面,提出了一種基于行列塊編碼的視頻檢索算法,該算法對檢索中視頻移位和亮度的變化具有魯棒性;針對視頻檢索算法的組織,提出了一種層次化的體系結(jié)構(gòu),相比傳統(tǒng)的檢索模式,在效果一致的前提下減少了將近40 %的時間開銷。 - It pays main attention on the building and implementation of the graph and image managing and application system on the distributed computing platform of windows dna . the system realized the transmitting , storing and using of graph and image data through network . based on the semantic information provided by the user , the system performs the semantic content - based retrieval , extracts proper images from the database and merges together in one page
側(cè)重于在windowsdna分布式計算平臺上構(gòu)建和實(shí)現(xiàn)圖形圖像數(shù)據(jù)管理使用系統(tǒng)，實(shí)現(xiàn)在網(wǎng)絡(luò)上圖形圖像數(shù)據(jù)的傳輸、存儲和使用，并根據(jù)用戶提供的語義信息，進(jìn)行按語義內(nèi)容檢索，從數(shù)據(jù)庫中提取圖像進(jìn)行組合，生成可解釋頁面?zhèn)鬟f到客戶端。 - To overcome the shortcomings of traditional text - based query , content - based retrieval is specially emphasized . in this paper , the architecture of image database is discussed ; the past , the present and the future of image retrieval are analyzed , and the main issues at different research phases are also discussed . the key research issues of content - based image retrieval are discussed extensively and comprehensively
考慮到圖像信息對于信息獲取的重要意義，本文主要研究了基于內(nèi)容的圖像存儲(圖像數(shù)據(jù)庫)的體系結(jié)構(gòu)，對圖像檢索的過去、現(xiàn)在和未來進(jìn)行了分析，論述了每個階段的研究特點(diǎn)，對基于內(nèi)容的圖像檢索的主要研究技術(shù)進(jìn)行了詳細(xì)和全面的論述。 - A cross - verification mechanism is worked out for detecting facial features on moving pictures by merging the technologies of both image analysis and motion analysis . it provides a solution to the problem of error - correction and feature estimation and makes it possible to detect facial features on video segment at a correction ration of 98 % , thus paves the way for the application of content - based retrieval and video encoding
2 、提出圖像分析和運(yùn)動分析相結(jié)合的交叉驗證方法，實(shí)現(xiàn)了活動圖像人臉特征檢測中的自動糾錯和特征估計機(jī)制，從而使視頻中人臉特征自動檢測的正確率達(dá)到98 %以上，為基于內(nèi)容檢索和視頻編碼的應(yīng)用開辟了道路。