Log in
Language:

MERAL Myanmar Education Research and Learning Portal

  • Top
  • Universities
  • Ranking
To
lat lon distance
To

Field does not validate



Index Link

Index Tree

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

{"_buckets": {"deposit": "d7f36bf1-fce4-458b-ad4d-ae345de6d846"}, "_deposit": {"created_by": 45, "id": "3044", "owner": "45", "owners": [45], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "3044"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3044", "sets": ["1596102355557", "user-uit"]}, "communities": ["uit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Review on Reverse Image Search Engines and Retrieval Techniques", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Reverse image search is content-based image retrieval (CBIR) query technique which involves providing the CBIR system with a sample query im-age then it will base its search upon. Reverse image search can be used to search either data related to the query image or the images related to that image or similar images or exact images. In this study, different features like color, texture, shape, and neuro fuzzy and different techniques like compact compo-site descriptor, fractal image processing, and genetic algorithm have been re-viewed. Different World Wide Web reverse image search engines (Google, Bing, Tineye) that are available and well-known today are also reviewed."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Content based image retrieval (CBIR)"}, {"interim": "fractal image processing"}, {"interim": "compact composite descriptor (CCD)"}, {"interim": "World Wide Web image search engines"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-08-25"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Review on Reverse Image Search Engines and Retrieval Techniques.pdf", "filesize": [{"value": "178 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "mimetype": "application/pdf", "size": 178000.0, "url": {"url": "https://meral.edu.mm/record/3044/files/Review on Reverse Image Search Engines and Retrieval Techniques.pdf"}, "version_id": "65c188e3-4218-44cd-b861-c9b96f516128"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "ICGEC-2015", "subitem_c_date": "26-28 August, 2015", "subitem_conference_title": "4th International Conference on Genetic and Evolutionary Computing", "subitem_place": "Yangon, Myanamar", "subitem_website": "http://bit.kuas.edu.tw/~icgec15/"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Nay Chi Lynn"}, {"subitem_authors_fullname": "Su Su Aung"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Conference paper"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2015-08-28"}, "item_title": "Review on Reverse Image Search Engines and Retrieval Techniques", "item_type_id": "21", "owner": "45", "path": ["1596102355557"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003044", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-08-25"}, "publish_date": "2020-08-25", "publish_status": "0", "recid": "3044", "relation": {}, "relation_version_is_last": true, "title": ["Review on Reverse Image Search Engines and Retrieval Techniques"], "weko_shared_id": -1}
  1. University of Information Technology
  2. Faculty of Computer Science

Review on Reverse Image Search Engines and Retrieval Techniques

http://hdl.handle.net/20.500.12678/0000003044
http://hdl.handle.net/20.500.12678/0000003044
570da8ad-3a74-444f-b9c9-1915848ddbe4
d7f36bf1-fce4-458b-ad4d-ae345de6d846
None
Preview
Name / File License Actions
Review Review on Reverse Image Search Engines and Retrieval Techniques.pdf (178 Kb)
Publication type
Conference paper
Upload type
Publication
Title
Title Review on Reverse Image Search Engines and Retrieval Techniques
Language en
Publication date 2015-08-28
Authors
Nay Chi Lynn
Su Su Aung
Description
Reverse image search is content-based image retrieval (CBIR) query technique which involves providing the CBIR system with a sample query im-age then it will base its search upon. Reverse image search can be used to search either data related to the query image or the images related to that image or similar images or exact images. In this study, different features like color, texture, shape, and neuro fuzzy and different techniques like compact compo-site descriptor, fractal image processing, and genetic algorithm have been re-viewed. Different World Wide Web reverse image search engines (Google, Bing, Tineye) that are available and well-known today are also reviewed.
Keywords
Content based image retrieval (CBIR), fractal image processing, compact composite descriptor (CCD), World Wide Web image search engines
Conference papers
ICGEC-2015
26-28 August, 2015
4th International Conference on Genetic and Evolutionary Computing
Yangon, Myanamar
http://bit.kuas.edu.tw/~icgec15/
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2020-08-25 16:46:41.091835
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats
  • JSON

Confirm


Back to MERAL


Back to MERAL