Image retrieval evaluation

Keywords

Computer science, Image retrieval, Content-based image retrieval, Information retrieval, Benchmark (surveying)

References

• Overview of the First Text REtrieval Conference (TREC-1)Donna Harman — 1992
• Visually Searching the Web for ContentJ. R. Smith, Shih-Fu Chang — 1997
• Chabot: Retrieval from a Relational Database of ImagesVanessa Ogle, Michael Stonebraker — 1995

Cited by

• Benchmarking Web-Based Image RetrievalRyan Fendley, Phani Kidambi — 2010
• EVALUATION METHODOLOGIES FOR IMAGE RETRIEVAL SYSTEMSI.H. Jermyn, C.W. Shaffrey, N. Kingsbury — 2002
• Semantic image representation for visual recognitionNuno Vasconcelos, Nikhil Rasiwasia — 2011
• The IAPR TC-12 Benchmark: A New Evaluation Resource for Visual Information SystemsM. Grubinger — 2006
• Quality of experience evaluation for multimedia servicesMichał Grega, Lucjan Janowski, Mikołaj Leszczuk — 2008
• Color sets with morphological and B-spline enhancements for content-based image retrievalP.A. Mlsna — 2001
• Saliency for image description and retrievalJonathon Hare — 2006
• A Framework for Benchmarking in CBIRHenning Müller, Wolfgang Müller, Stéphane Marchand‐Maillet — 2003
• Multilingual Information RetrievalC Peters, Martín Braschler, Paul Clough — 2012
• Representasi Kueri Spasial Warna dengan Logika Fuzzy pada Sistem Perolehan CitraMaria Susan Anggreainy — 2009
• A proposal for the CLEF Cross-Language Image Retrieval Track 2004Paul Clough, Henning Müeller, Mark Sanderson — 2004
• Image database querying using a multi-scale localized color representationUllas Gargi, Rangachar Kasturi — 1999
• A new non-segmentation shape-based image indexing methodFariborz Mahmoudi, Jamshid Shanbehzadeh, Amir Masoud Eftekhari Moghadam — 2003
• Image texture representation and retrieval based on power spectral histogramChongjun Wang, Yu-Bin Yang, Wu-Jun Li — 2004
• Multi-component cross entropy segmentation for color image retrievalKhalid Idrissi, J. Ricard, A. Baskurt — 2001
• Learning from User Behavior in Image Retrieval: Application of Market Basket AnalysisHenning Müller, Thierry Pun, David Squire — 2004
• Simple Example: Clustering Images Using Expectation MaximizationKurie Nakamura, Andrea Kutics, Akihiko Nakagawa — 2013
• Similarity transformation parameters recovery based on Radon transform. Application in image registration and object recognitionNafaâ Nacereddine, Salvatore Tabbone, Djemel Ziou — 2015
• Segment-based image classifcaton using Layered-SOMAndrea Kutics, Christian O’Connell, Akihiko Nakagawa — 2013
• A model for predicting image search engine behaviourLyn. X. L. Wang, Clement Leung — 2010

Related papers

• A REVIEW ON CONTENT BASED IMAGE RETRIEVALNitika Seth, Sonika Jindal — 2015
• Analytical Study of CBIR TechniquesMohini Patil, Chitra Dhawale, P Pote — 2015
• A survey on content based image retrievalT. Dharani, I. Laurence Aroquiaraj — 2013
• Comparison of image feature descriptor in content based image retrieval systemShreela Pareek, Hardwari Lal Mandoria — 2017
• A CONTENT-BASED APPROACH TO IMAGE DATABASE RETRIEVALR. Anitha — 2008
• New Research Progress in Image RetrievalFan Hui, Guo Jie, Jin Jiang Li — 2013
• Survey on recent advances in content based image retrieval techniquesM Vijayashanthi, V. Venkata Krishna, G. Venkata Rami Reddy — 2018
• Image Retrieval based on Deep Learning - Convolutional Neural NetworksA Kannagi, Ravikumar Lanke — 2022
• Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval :A SurveyRuchi Kapadia, Hinal Somani — 2016