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[PDF] Top 20 3 D Content Based Retrieval and Classification with Applications to Museum Data

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3 D Content Based Retrieval and Classification with Applications to Museum Data

3 D Content Based Retrieval and Classification with Applications to Museum Data

... and 3- D content-based retrieval. The 2-D algorithms were ported from the FVG tool in the ARTISTE project and most of the 3-D algorithms were implemented by ...for ... See full document

163

A Content-Based Image Retrieval System for Fish Taxonomy

A Content-Based Image Retrieval System for Fish Taxonomy

... Image retrieval algorithms roughly fall to two categories, depending on the query format: text-based approaches and content-based ...are based on the idea of storing a keyword, a set of ... See full document

53

Privacy Issues in Content based Image Retrieval (CBIR) for Mobile Users, and a Proposed Solution

Privacy Issues in Content based Image Retrieval (CBIR) for Mobile Users, and a Proposed Solution

... much data gets collected, a new challenge comes up, ...image retrieval problem, that searches for digital images in large databases by analyzing the contents of the image rather than the metadata or ... See full document

6

Content Based Image Retrieval Using Spatial Features

Content Based Image Retrieval Using Spatial Features

... image retrieval technologies have enabled the creation of large image ...image retrieval system is a computer system for searching, browsing and retrieving images from a large database of ...as ... See full document

6

IMAGE REFINING AND TRACKING

IMAGE REFINING AND TRACKING

... user Content Based Image Retrieval (CBIR) – the application of computer vision to the image ...images based on their visual similarity to a user-supplied query image or user- specified ...a ... See full document

6

Classification of Carpiodes Using Fourier Descriptors: A Content Based Image Retrieval Approach

Classification of Carpiodes Using Fourier Descriptors: A Content Based Image Retrieval Approach

... the data and the six most important variables found by variable importance using the Random Forest algorithm, feature reduction can be achieved and it produces good classification ...the data through ... See full document

65

A REVIEW ON CONTENT BASED VIDEO RETRIEVAL, CLASSIFICATION AND SUMMARIZATION

A REVIEW ON CONTENT BASED VIDEO RETRIEVAL, CLASSIFICATION AND SUMMARIZATION

... a Content-Based Video Retrieval (CBVR) system aims at assisting a human operator to retrieve sequence (target) within a potentially large database ...well-known Content-Based Image ... See full document

6

Content Based Image Retrieval from Web Based Data Sources

Content Based Image Retrieval from Web Based Data Sources

... Search time is known as the time required to find relevant results after the query, here the file size does not matters for searching process. But the factor o0n which searching slightly depends upon the size of images ... See full document

6

Content Based Image Retrieval using Color Feature Extraction with KNN Classification

Content Based Image Retrieval using Color Feature Extraction with KNN Classification

... Figure 1 .show the basic block diagram of content based image retrieval. Textural features are extracted for both query image and images in the database. The distance (i.e., similarities) between the ... See full document

7

Towards Automatic Classification of 3 D Museum Artifacts using Ontological Concepts

Towards Automatic Classification of 3 D Museum Artifacts using Ontological Concepts

... of museum systems are being developed to store and or- ganise multimedia data on almost any ...and retrieval methods to access the data. However, adding new data to the system is still ... See full document

10

A Study on Content Based Image Retrieval Systems

A Study on Content Based Image Retrieval Systems

... image retrieval technique uses visual contents to search images from large scale image databases based on users’ ...Image content may include both visual and semantic content. ... See full document

6

CLASSIFICATION OF BIOMEDICAL IMAGES USING CONTENT BASED IMAGE RETRIEVAL SYSTEMS

CLASSIFICATION OF BIOMEDICAL IMAGES USING CONTENT BASED IMAGE RETRIEVAL SYSTEMS

... In the present work, the data set from National Biomedical Imaging Archive (NBIA) is used. NBIA is a searchable repository of in vivo images that provides the biomedical research community, industry, and academia ... See full document

9

Efficient Image Retrieval Using Cloud Repository

Efficient Image Retrieval Using Cloud Repository

... visual data have increased in recent years, following the appearance of many interactive multimedia services and applications for mobile devices in personal and business ...cloud-based data ... See full document

8

 AN EFFECTIVE MACHINE LEARNING ALGORITHM FOR TEXTURE BASED MEDICAL IMAGE RETRIEVAL SYSTEM

 AN EFFECTIVE MACHINE LEARNING ALGORITHM FOR TEXTURE BASED MEDICAL IMAGE RETRIEVAL SYSTEM

... image retrieval approach is needed for utilizing this massive ...of Content-Based Medical Image Retrieval(CBMIR) ...A classification algorithm is used as an Evaluation Criteria, for ... See full document

18

Secure Privacy-Preserving Content-Based Retrieval in Cloud Image Repositories

Secure Privacy-Preserving Content-Based Retrieval in Cloud Image Repositories

... image retrieval (CBIR) is also known as query by image content and content-based visual information retrieval is the use of computer vision to the image retrieval problem of ... See full document

6

Seed Classification using Multi Feature Extraction

Seed Classification using Multi Feature Extraction

... (content Based Image Retrieval) for recognition of seeds and classification with ANN and Euclidean ...for classification of five different corn seed varieties with accuracies of 94% for ... See full document

5

An Effective Content Based Image Retrieval Technique using Color and Texture Feature

An Effective Content Based Image Retrieval Technique using Color and Texture Feature

... "Content-based" means that the search analyzes the contents of the image rather than the metadata such as keywords, tags, or descriptions associated with the image. The term "content" ... See full document

7

SCULPTEUR: Multimedia Retrieval for Museums

SCULPTEUR: Multimedia Retrieval for Museums

... web based client-server application and the server-side repositories hold the raw multimedia objects, feature vectors for content-based retrieval, tex- tual metadata and the ontologies which ... See full document

9

Content Based Video Retrieval

Content Based Video Retrieval

... industry. Content-based video retrieval (CBVR) is now becoming a prominent research interest ...video retrieval problem, ...was based on extracting visual features such as color, ... See full document

5

Content based image retrieval of museum images

Content based image retrieval of museum images

... However, it is important not to confuse this with the scale of the query images which has already been investigated in the last section. What we mean by size is the proportion of the query image itself. When we change ... See full document

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