{"_buckets": {"deposit": "4b14681f-7a8d-4463-8a66-eaf791d4174e"}, "_deposit": {"created_by": 73, "id": "7724", "owner": "73", "owners": [73], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "7724"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00007724", "sets": ["user-miit"]}, "communities": ["miit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Semantic Concepts Classification in Outdoor Scene Images", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Outdoor scene analysis is a complex problem for both image processing and pattern recognition domains. A number of different approaches have been used for recognizing different objects in such scenes. There are two methods of segmenting images to look for objects in an image. One is blockbased and one is region-based. Region-based method can provide some useful information about objects even though segmentation may not be perfect. In this paper, propose a method for semantic concepts classification on outdoor scene images. The basic idea of this approach is to classify local image regions into semantic concept classes such as tree, sky and road etc. There are three phases in this approach: segmentation phase, features extraction phase and classification phase. In segmentation phase, Modified Marker-Control Watershed algorithm (MCWS) is used. Second, color feature vectors are extracted from segmented regions by color moments in RGB space. Finally, classification is performed by 3"}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Color moments, Marker Control Watershed, Outdoor Scene"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2021-01-22"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Semantic Concepts Classification in Outdoor Scene Images.pdf", "filesize": [{"value": "477 KB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_3", "mimetype": "application/pdf", "size": 477000.0, "url": {"url": "https://meral.edu.mm/record/7724/files/Semantic Concepts Classification in Outdoor Scene Images.pdf"}, "version_id": "2bd5e5b6-9573-422f-930b-0455d3fcab79"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "Issue 1", "subitem_journal_title": "10th International Conference “Inter-university Cooperation Program”", "subitem_pages": "Pages 66-74", "subitem_volume": "Volume 3"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Kyawt Kyawt Htay"}, {"subitem_authors_fullname": "Nyein Aye"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Journal article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2015-01-06"}, "item_title": "Semantic Concepts Classification in Outdoor Scene Images", "item_type_id": "21", "owner": "73", "path": ["1582963674932", "1597396989070"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000007724", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2015-01-06"}, "publish_date": "2015-01-06", "publish_status": "0", "recid": "7724", "relation": {}, "relation_version_is_last": true, "title": ["Semantic Concepts Classification in Outdoor Scene Images"], "weko_shared_id": -1}