Assessment on various Approaches for Content Based Image Retrieval
| Autor: | Naveen Gondhi, Navjot Kour, Smvdu Katra |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
business.industry
Computer science Computer Science::Information Retrieval InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Relevance feedback Pattern recognition Graph theory Content-based image retrieval Support vector machine Tree (data structure) ComputingMethodologies_PATTERNRECOGNITION Gabor filter Computer Science::Computer Vision and Pattern Recognition Computer Science::Multimedia Artificial intelligence business Image retrieval |
| Zdroj: | 2019 Third International Conference on Inventive Systems and Control (ICISC). |
| DOI: | 10.1109/icisc44355.2019.9036378 |
| Popis: | Content Based Image retrieval(CBIR) has a important place in research field. This paper deals with the realization of different approaches used in image retrieval based on content. In CBIR, a query image is searched from larger database by selecting features from image and then exact match is retrieved using efficient algorithms. The various CBIR approaches are reviewed such as relevance feedback, SVM, graphs, wavelet transform, Gabor filter, Semantic templates, GMM, Fuzzy logic, Object ontology, Machine intelligence and Histogram. In this paper, the various graph theory algorithms used in CBIR have been discussed and compared viz. NN Graphs, Collocation Tree, Graphlets, Efficient Manifold Ranking, A* algorithm and segmentation algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|