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標(biāo)題: Titlebook: Content-Based Image Retrieval; Ideas, Influences, a Vipin Tyagi Book 2017 Springer Nature Singapore Pte Ltd. 2017 Image Retreival.Image Sea [打印本頁]

作者: Retina    時間: 2025-3-21 18:10
書目名稱Content-Based Image Retrieval影響因子(影響力)




書目名稱Content-Based Image Retrieval影響因子(影響力)學(xué)科排名




書目名稱Content-Based Image Retrieval網(wǎng)絡(luò)公開度




書目名稱Content-Based Image Retrieval網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Content-Based Image Retrieval被引頻次




書目名稱Content-Based Image Retrieval被引頻次學(xué)科排名




書目名稱Content-Based Image Retrieval年度引用




書目名稱Content-Based Image Retrieval年度引用學(xué)科排名




書目名稱Content-Based Image Retrieval讀者反饋




書目名稱Content-Based Image Retrieval讀者反饋學(xué)科排名





作者: forthy    時間: 2025-3-21 23:30
Content-Based Image Retrieval Techniques: A Review,the search for the relevant information from image and video databases has become more challenging. To get accurate retrieval results is still an unsolved problem and an active research area. Content-based image retrieval (CBIR) is a process in which for a given query image, similar images are retri
作者: 動物    時間: 2025-3-22 01:05
Region-Based Image Retrieval,roduction to content-based image retrieval according to region-based similarity known as region-based image retrieval (RBIR). Regions of interest from an image can be selected automatically by the system or can be specified by the user. It increases the accuracy of the retrieval results as regions o
作者: 有節(jié)制    時間: 2025-3-22 07:46
Similarity Measures and Performance Evaluation,easures indicate that how two images are matching to each other. Several similarity measures for retrieval have been developed by various researchers. In this chapter, some commonly used similarity measures are described. After development of a retrieval system, it is necessary to check performance
作者: 退潮    時間: 2025-3-22 10:53
MPEG-7: Multimedia Content Description Standard,edia content using XML. MPEG-7 allows interoperable indexing, searching, and retrieval of video, images, audio, and other forms of multimedia data. In this chapter, the description tools standardized by MPEG-7 are introduced.
作者: 健忘癥    時間: 2025-3-22 13:55
Color Feature,superior to the single-dimensional gray values of images. Color can be retrieved easily from images without any complex preprocessing. Color feature is robust to background complication and invariant of image size and orientation of the image. There are many color spaces designed for different syste
作者: 健忘癥    時間: 2025-3-22 18:14

作者: Nuance    時間: 2025-3-22 23:09

作者: BLINK    時間: 2025-3-23 02:55

作者: 配偶    時間: 2025-3-23 07:11

作者: Obituary    時間: 2025-3-23 10:37
Content-Based Image Retrieval Using a Short Run Length Descriptor,image local and global information. It can be viewed as an integrated representation of both color and texture properties. HSV color space is quantized to 72 bins, and SRLD is computed using short run lengths of size 2 and 3 for each color in different orientations. Short run lengths at all orientat
作者: 凹室    時間: 2025-3-23 16:50

作者: gimmick    時間: 2025-3-23 21:49
Multistage Content-Based Image Retrieval,produced for these features are merged using data fusion techniques to produce one common output. In this chapter, an image retrieval technique is described, which retrieves similar color images in three stages. Initially, a fixed number of images are retrieved based on their color feature similarit
作者: notion    時間: 2025-3-23 23:04
Alaa A. A. Aljabali,David J. Evansval and content-based image retrieval techniques are introduced. A brief introduction to visual features like color, texture, and shape is provided. Similarity measures used in content-based image retrieval and performance evaluation of content-based image retrieval techniques are also given. Import
作者: calamity    時間: 2025-3-24 04:03

作者: Outwit    時間: 2025-3-24 07:27

作者: 即席演說    時間: 2025-3-24 11:09

作者: 免除責(zé)任    時間: 2025-3-24 16:24

作者: Directed    時間: 2025-3-24 20:39
Case Study: An Event-Driven Language,superior to the single-dimensional gray values of images. Color can be retrieved easily from images without any complex preprocessing. Color feature is robust to background complication and invariant of image size and orientation of the image. There are many color spaces designed for different syste
作者: aqueduct    時間: 2025-3-25 02:21
https://doi.org/10.1007/978-1-84628-246-1ncept of texture is introduced and a number of texture features are described. Various models of the texture are discussed which can be used in content-based image retrieval. A brief description of MPEG-7 texture descriptors is also provided.
作者: nitroglycerin    時間: 2025-3-25 06:37
Case Study: An Event-Driven Language,he database are uniformly divided into multiple regions, and each region is assigned a 4-bit region code based upon its location relative to the central region. Dominant color and local binary pattern (LBP)-based texture features are extracted from these regions. Feature vectors together with their
作者: Middle-Ear    時間: 2025-3-25 09:06
Case Study: An Event-Driven Language,n this technique, instead of extracting the features of the whole query image, features of the objects of interest are extracted using morphological operations. First, background subtraction is performed to reduce the effect of background intensities, then segmentation is performed, and the regions
作者: engagement    時間: 2025-3-25 12:46

作者: 熟練    時間: 2025-3-25 17:59
Case Study: An Event-Driven Language,image local and global information. It can be viewed as an integrated representation of both color and texture properties. HSV color space is quantized to 72 bins, and SRLD is computed using short run lengths of size 2 and 3 for each color in different orientations. Short run lengths at all orientat
作者: Ascribe    時間: 2025-3-25 22:45

作者: 和諧    時間: 2025-3-26 04:02

作者: 紡織品    時間: 2025-3-26 06:27
Vipin TyagiCovers state-of-the-art CBIR techniques.Provides a solid foundation for those working to advance the theory and practice of image retrieval.Includes information about various databases used in image r
作者: 鐵砧    時間: 2025-3-26 11:57

作者: 季雨    時間: 2025-3-26 15:24
MPEG-7: Multimedia Content Description Standard,edia content using XML. MPEG-7 allows interoperable indexing, searching, and retrieval of video, images, audio, and other forms of multimedia data. In this chapter, the description tools standardized by MPEG-7 are introduced.
作者: 過濾    時間: 2025-3-26 20:14
Texture Feature,ncept of texture is introduced and a number of texture features are described. Various models of the texture are discussed which can be used in content-based image retrieval. A brief description of MPEG-7 texture descriptors is also provided.
作者: 開始從未    時間: 2025-3-26 21:13
https://doi.org/10.1007/978-1-84628-246-1edia content using XML. MPEG-7 allows interoperable indexing, searching, and retrieval of video, images, audio, and other forms of multimedia data. In this chapter, the description tools standardized by MPEG-7 are introduced.
作者: Pericarditis    時間: 2025-3-27 02:54
https://doi.org/10.1007/978-1-84628-246-1ncept of texture is introduced and a number of texture features are described. Various models of the texture are discussed which can be used in content-based image retrieval. A brief description of MPEG-7 texture descriptors is also provided.
作者: ATOPY    時間: 2025-3-27 07:53

作者: GNAW    時間: 2025-3-27 10:18
Bruno Deval MD,Fran?ois Haab MDIn this chapter, several research issues related to content-based image retrieval are given. Although work has been done in all these areas, but still much work is required to be done to get more effective content-based image retrieval applications.
作者: 全神貫注于    時間: 2025-3-27 13:42
Shape Feature,Modern content-based image retrieval techniques use visual features derived directly from the content of the image. Shape is an important visual feature of an image that can be used for efficient image retrieval. In this chapter, various shape features are introduced, which can be used in deriving a feature vector for CBIR techniques.
作者: 消息靈通    時間: 2025-3-27 18:27

作者: 自制    時間: 2025-3-28 00:38

作者: 聲音刺耳    時間: 2025-3-28 02:55
978-981-13-4944-7Springer Nature Singapore Pte Ltd. 2017
作者: ASTER    時間: 2025-3-28 10:03

作者: 金盤是高原    時間: 2025-3-28 11:05
https://doi.org/10.1007/978-1-84628-246-1eved from a large image database based on their content similarity. A number of techniques have been suggested by researchers for content-based image retrieval. In this chapter, a review of some state-of-the-art retrieval techniques is provided.
作者: 使成整體    時間: 2025-3-28 15:19
Case Study: An Event-Driven Language,f interests are capable of reflecting user-specific interest with greater accuracy. However, success of automatic selection of region of interest-based methods largely depends on the segmentation technique used. In this chapter, state-of-the-art techniques for region-based image retrieval are discussed.
作者: 煤渣    時間: 2025-3-28 20:29
Case Study: An Event-Driven Language,of the system in terms of output generated in response to a query, in comparison to other state-of-the-art systems. This chapter also describes some common measures that are used to evaluate the performance on CBIR systems.
作者: Moderate    時間: 2025-3-29 00:23

作者: Wernickes-area    時間: 2025-3-29 03:51

作者: 光亮    時間: 2025-3-29 09:18
Includes information about various databases used in image r.The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR). It presents insights into and the theoretical foundation of various essential concepts relat
作者: Cholecystokinin    時間: 2025-3-29 15:22

作者: 里程碑    時間: 2025-3-29 16:10
Case Study: An Event-Driven Language, has the advantages of both statistical and structural approaches of texture representation. The experimental results are given that show the effectiveness of the proposed descriptor in image retrieval applications.
作者: 糾纏    時間: 2025-3-29 21:36
Bruno Deval MD,Fran?ois Haab MDeach block. All three features are combined to make a single completed binary region descriptor (CBRD) represented in the LBP way. To support region-based retrieval, an effective region code-based scheme is employed. In this technique, the spatial relative locations of objects are also considered to increase the retrieval accuracy.
作者: –FER    時間: 2025-3-30 02:55
Courtenay Moore MD,Firouz Daneshgari MDusion and normalization techniques, which are commonly used to calculate final similarity scores. This reduces the computation time and increases the overall accuracy of the system. Moreover, in this technique, global and region features are combined to obtain better retrieval accuracy.
作者: 孤獨(dú)無助    時間: 2025-3-30 04:39
Content-Based Image Retrieval Using a Short Run Length Descriptor, has the advantages of both statistical and structural approaches of texture representation. The experimental results are given that show the effectiveness of the proposed descriptor in image retrieval applications.
作者: 領(lǐng)帶    時間: 2025-3-30 08:23
Content-Based Image Retrieval Using Integrated Color, Texture, and Shape Features,each block. All three features are combined to make a single completed binary region descriptor (CBRD) represented in the LBP way. To support region-based retrieval, an effective region code-based scheme is employed. In this technique, the spatial relative locations of objects are also considered to increase the retrieval accuracy.
作者: Inertia    時間: 2025-3-30 14:30

作者: 禍害隱伏    時間: 2025-3-30 16:47

作者: LVAD360    時間: 2025-3-30 21:38

作者: 肌肉    時間: 2025-3-31 02:51
Region-Based Image Retrieval,f interests are capable of reflecting user-specific interest with greater accuracy. However, success of automatic selection of region of interest-based methods largely depends on the segmentation technique used. In this chapter, state-of-the-art techniques for region-based image retrieval are discussed.
作者: 脫水    時間: 2025-3-31 08:23
Similarity Measures and Performance Evaluation,of the system in terms of output generated in response to a query, in comparison to other state-of-the-art systems. This chapter also describes some common measures that are used to evaluate the performance on CBIR systems.
作者: dominant    時間: 2025-3-31 11:53





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