A Practical Approach of Image Categorization

Author:

Budhathoki Shubham1,Rawat Dhruv2,Gupta Prateek2,Shukla Utsav2,Tomer Uma2

Affiliation:

1. Computer Science & Engineering Dr. Akhilesh Das Gupta Institute of Technology & Management, New Delhi

2. Computer Science & Engineering Dr. Akhilesh Das Gupta Institute of Technology & Management, New Delhi,

Abstract

In the previous few years, there has been first-rate boom in the utilization of digital images. Users can now get admission to thousands and thousands of photos, a reality that poses the want for having strategies that can efficaciously and successfully search the visible records of interest. Image categorization and awareness have lengthy been related in the imaginative and prescient literature & studied in Computer Vision with a massive wide variety of options have been proposed. We prolonged the single-image mannequin to strategy the extra difficult issues of simultaneous categorization and focus of a whole image collection, with restricted or no supervision. We determined that sharing data about the structure and look of a phase throughout a series of photos of objects belonging to the identical class can enhance performance.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Electrical and Electronic Engineering,Mechanics of Materials,Civil and Structural Engineering,General Computer Science

Reference15 articles.

1. LSVRC Challenge, http://www.image-net.org/challenges/LSVRC/2013/

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3. E. Saber, A. M. Tekalp, R. Eschbach, and K. Knox, "Automatic image annotation using adaptive color classification," Graphical Models and Image Processing, vol. 58, no. 2, pp. 115 - 126, 1996.

4. Oliva, A., and Torralba, A. Building the gist of a scene: The role of global image features in recognition. Visual Perception, Progress in Brain Research 155 (2006).

5. Karpathy, A., Toderici, G., Shetty, S., Leung, T., Sukthankar, R., and Fei-Fei, L. Large-scale video classification.

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