Content based Image Retrieval with Rocchio Algorithm for Relevance Feedback Using 2D Image Feature Representation

Author:

Siradjuddin Indah Agustien1,Triyanto Aryandi1,S. Mochammad Kautsar1

Affiliation:

1. Informatics Department, University of Trunojoyo Madura, Kamal, Madura, East Java Province, Indonesia

Funder

RISTEKDIKTI

Publisher

ACM

Reference13 articles.

1. Megha Agarwal and R P Maheshwari. Weight Co-occurrence based Integrated Color and Intensity Matrix for CBIR. 4 1 6. Megha Agarwal and R P Maheshwari. Weight Co-occurrence based Integrated Color and Intensity Matrix for CBIR. 4 1 6.

2. Encrypted Image Retrieval System based on Features Analysis

3. Content-Based Image Retrieval by Feature Adaptation and Relevance Feedback

4. Content-based image retrieval approach for biometric security using colour, texture and shape features controlled by fuzzy heuristics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Suspect Identification Framework using Contrastive Relevance Feedback;2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2023-01

2. Stacked auto-encoder based tagging with deep features for content-based medical image retrieval;Expert Systems with Applications;2020-12

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