content retrieval 中文意思是什麼

content retrieval 解釋
內容檢索
  • content : n 1 容積,容量,含量,【數學】容度;收容量。2 【哲學】內容 (opp form);要旨,真意。3 〈pl 〉內...
  • retrieval : n. (可)取回,(可)恢復,(可)挽回;(可)修補,(可)修正,(可)更正;(可)彌補,(可)補償。 beyond retrieval 不能補救的,不能挽回的。
  1. Report ucb csd - 01 - 1141, university of california, berkeley, usa, 2001. 8 cuenca - acuna f m, nguyen t d. text - based content search and retrieval in ad hoc p2p communities

    本文針對上述問題,提出對等數據系統中的摘要索引結構及建立在此基礎上的基於內容的近似查詢處理方法。
  2. Fractal coding has been proved useful for image compression. it is also proved effective for content - based image retrieval. in the paper, we present a block - constrained fractal coding scheme and a matching strategy for content - based image retrieval. in this coding scheme, an image is partitioned into non - overlap blocks of a size close to that of a query iconic image. fractal codes are generated for each block independently. in the similarity measure of fractal codes, an improved nona - tree decomposition scheme is adopted to avoid matching the fractal codes globally in order to reduce computational complexity. our experimental results show that our coding scheme and the matching strategy we adopted is useful for image retrieval, and is compared favorably with other two methods tested in terms of storage usage and computing time

    分形編碼在圖像壓縮方面取得了很好的效果,同時,分形編碼也能夠用於基於內容的圖像檢索.本文提出了一種基於塊限制的分形編碼演算法和匹配策略,並將它們用於圖像檢索.在我們編碼演算法中,圖像會被預先分成互相不重疊的子圖像塊,然後對這些子圖像進行獨立地分形編碼,從而獲得整幅圖像的分形碼.該編碼演算法能夠在很大程度上減少編碼時間.在進行圖像間相似性的匹配時,我們採用改進的基於九叉樹的分配策略,從而避免全局地進行分形碼的匹配,減少了計算量.實驗結果說明,我們的編碼演算法和匹配策略能夠比較有效地應用於基於內容的圖像檢索,在計算時間和存儲時間上都優于實驗中其它兩種方法
  3. Research of content - based image retrieval technology

    基於內容的圖像檢索技術綜述
  4. Application the retrieval coefficients of the city of changchun in april to a field experiments in jilin province, on april 22 demonstrate the airborne up - looking microwave radiometer can detect cloud liquid water and supercooled liquid water content

    此外,本文將求得的長春地區4月的反演系數應用到長春4月22日的一次飛行實驗中,結果表明,能夠探測出雲中液態水和過冷水含量及其變化。
  5. There are two kinds of retrieval model, full text retrieval and content retrieval, and the vector space model ( vcm ) of the latter is a widely - used method with better effect. the best excellence of vcm is the predominance of knowledge presentation, which expresses documents with vectors in vector space and changes the comparability issue to the distance of vectors, and thus reduces the complexity of documents matching. however. we can not affirm the absolute effect of it, and in this thesis we prove its nonproficiency through experiments

    向量空間模型最大的優點在於知識表示方法上的巨大優勢,用n維空間的向量表示文檔,用向量之間的夾角表示文檔的相似度,從而將文檔信息的匹配問題轉化為向量空間中的矢量匹配問題,將難以計算的文字量化成很容易計算的實數,使問題的復雜性大大減小。但是,並不能夠說目前的向量空間模型是最理想的,本文通過實驗證明了vcm表達信息的不精確性。
  6. You ll also get a general overview of the content retrieval process, from

    還會概述內容檢索過程,從
  7. The next few sections of this article will take you through the rest of the process for content retrieval in the example connector

    本文的下面幾節將講解示例連接器中內容檢索過程的其餘部分。
  8. First, this thesis has studied classic information retrieval for document from information retrieval theory, description by math, retrieval model and so on, designed and implemented a content retrieval experimental system based on vector space model

    本文首先針對xml文檔的內容信息,從信息檢索原理、數學描述、檢索模型等方面較全面地研究了傳統的文檔信息檢索技術,設計並實現了一個基於向量空間模型的內容檢索試驗系統。
  9. In this case, you would want to know which content retrieval option provides the least amount of information that would satisfy your retrieval request

    在這種情況下,您希望了解哪個內容檢索選項在滿足檢索需求的前提下,提供了的信息最少。
  10. Example connector : content retrieval summary

    示例連接器:內容檢索小結
  11. Image content retrieval based on colour histogram similarity

    基於顏色分佈相似性的圖象內容檢索
  12. Example connector : content retrieval

    使用連接器:內容檢索
  13. In this article the various content retrieval options have been explained

    本文中解釋了各種內容檢索選項。
  14. Content retrieval options

    內容檢索選項
  15. Content retrieval option

    內容檢索選項
  16. Provides a listing of the various content retrieval options with a description of each option

    提供了各種內容選項的一個列表,並對每個選項進行了描述:
  17. There are a lot of choices, and sometimes a content retrieval option is chosen that provides you with more information than you need

    這里有許多選擇,而且有時選擇的內容檢索選項提供的信息會超出您的需要。
  18. As to video content - based video index techniques, besides providing correct and quick response index result, a good video index should also provide content retrieval of correlation similarity

    基於視頻內容的視頻索引技巧,除了必須能提供正確而快速的反應搜索結果外,一個好的視頻索引方法還必須提供相關相似性的內容檢索。
  19. As mentioned in the last article, content retrieval and management is the end game in all of this, so item retrieval will probably take center stage in the connector development process

    在前一篇文章中提到,內容檢索和管理是所有這些工作的最終目的,所以內容條目檢索在連接器開發過程中處于中心位置。
  20. To promote information service ability of digital libraries, a browsing and searching personalized recommendation framework based on the use of ontology is described, where the advantages of ontology are exploited in different parts of the retrieval cycle including query - based relevance measures, semantic user preference representation and automatic update, and personalized result ranking. both the usage and information resources can be exploited to extract useful knowledge from the way users interact with a digital library. through combination and mapping between the extracted knowledge and domain ontology, semantic content retrieval between queries and documents can be utilized. furthermore, ontology - based conceptual vector of user preference can be applied in personalized recommendation feedback

    為了提高數字圖書館信息服務的能力,描述了一個基於本體的用戶瀏覽和搜索個性化推薦系統框架.該框架將本體的優點應用於檢索周期中,包括提問相關測度、語義化的用戶興趣表達和自動更新、以及個性化的檢索結果排序等.在用戶訪問數字圖書館的交互過程中,可通過本體來構造用戶提問和文檔內容的匹配機制以實現語義化的內容檢索,並可進一步使用本體來構造用戶興趣偏好的概念向量以實現面向用戶的個性化推薦反饋
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