A Review on Content Based Image Retrieval and Its Methods Towards Efficient Image Retrieval
| Autor: | R. Raghavan, K. John Singh |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Interpretation (logic)
Recall business.industry Computer science Dimensionality reduction Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Content-based image retrieval Image (mathematics) Content (measure theory) Artificial intelligence business Image retrieval |
| Zdroj: | Learning and Analytics in Intelligent Systems ISBN: 9783030654061 |
| DOI: | 10.1007/978-3-030-65407-8_31 |
| Popis: | The main motto of this paper is to review the importance of image retrieval as per the different form of requirements from the user depends on the given content. The requirement varies from one to other in terms of content. The content in an image could have many interpretations from the different ends. The interpretation used to give priority to retrieve images based on colour or to retrieve images based on shape or to retrieve images based on size too. All such possible interpretations are reviewed in this paper which would result to have a proper choice in choosing the concern method among the varieties towards our interest in fetching the analysis as per our necessity. Also this survey focussed on the following agendas in the form of minimising or throw away the irrelevant form of images, using parallel retrieval system to handle images of high dimensional cum complex features, and also to perform the image retrieval in an unsupervised fashion. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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