{"created":"2020-09-01T15:26:29.700125+00:00","id":4875,"links":{},"metadata":{"_buckets":{"deposit":"77d09fec-4e06-4221-be84-80556db5e780"},"_deposit":{"id":"4875","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4875"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4875","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Color Classification for Image Annotation","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Capturing of the digital images using multimediadevices and the digital cameras is becoming increasinglymore popular. Annotating the digital pictures isimportant to support the browsing, i.e. search patternand retrieval of the images. Image annotation techniquesdepend entirely on visual properties of the image. Thetextual annotations or the tags with multimedia contentare the most effective approaches to organize and tosupport search over digital images and multimediadatabases. The image annotation preferred because asthe countless images exist in our lives it is not possible toannotate them all by hand. And so annotation bycomputer is a potential and promising solution to thisproblem precisely. In this paper, color segmentationapproach for image annotation is proposed. The regionsegmentation is performed by N-cut algorithm. RGBcolor space and HSI color space are mainly used forcolor classification and database creation. Severalexperiments have been done to confirm the effectivenessof the proposed method."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Image Segmentation"},{"interim":"Color classification"},{"interim":"Image database"},{"interim":"Annotation"},{"interim":"Segmented parts"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-07-11"}],"displaytype":"preview","filename":"11075.pdf","filesize":[{"value":"458 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4875/files/11075.pdf"},"version_id":"20142d70-6058-44ec-8475-53ca208e7a91"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Eleventh International Conference On Computer Applications (ICCA 2013)","subitem_pages":"","subitem_volume":""}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"","subitem_c_date":"","subitem_conference_title":"","subitem_part":"","subitem_place":"","subitem_session":"","subitem_website":""}]},"item_1583103211336":{"attribute_name":"Books/reports/chapters","attribute_value_mlt":[{"subitem_book_title":"","subitem_isbn":"","subitem_pages":"","subitem_place":"","subitem_publisher":""}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_awarding_university":"","subitem_supervisor(s)":[{"subitem_supervisor":""}]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Sein, Myint Myint"},{"subitem_authors_fullname":"Yu, May The'"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Article"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2013-02-26"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/770"},"item_title":"Color Classification for Image Annotation","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-11","publish_status":"0","recid":"4875","relation_version_is_last":true,"title":["Color Classification for Image Annotation"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2022-03-24T23:16:28.500309+00:00"}