{"_buckets": {"deposit": "e03bc2cc-b02e-43b4-b410-cedebf9fad1d"}, "_deposit": {"created_by": 71, "id": "7371", "owner": "71", "owners": [71], "owners_ext": {"displayname": "Kay_Thwe", "username": "kay_thwe"}, "pid": {"revision_id": 0, "type": "depid", "value": "7371"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00007371", "sets": ["user-miit"]}, "communities": ["miit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Analaysis on Residual Network Models for Image Description Generation", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "This paper presents different deep\nlearning models for generating the natural language description of the\nimage. Moreover, we discussed how the deep learning model, which works\nfor the natural language description of an image, can be implemented. This\ndeep learning model consists of Convolutional Neural Network (CNN) as\nwell as Recurrent Neural Network (RNN). The CNN is used for extracting\nthe features from the image and RNN is used for generating the natural\nlanguage description. To implement the deep learning model in generating\nthe natural language description of an image, we have applied the Flickr 8K\ndataset and we have also evaluated the performance of the model using the\nstandard evaluation matrices. These experiments show that the model is\nfrequently giving accurate natural language descriptions for an input\nimage."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "natural language description, computer vision, natural language processing, deep learning model"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2021-01-11"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Analaysis on Residual Network Models for Image Description Generation.pdf", "filesize": [{"value": "560 KB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 560000.0, "url": {"url": "https://meral.edu.mm/record/7371/files/Analaysis on Residual Network Models for Image Description Generation.pdf"}, "version_id": "58e91bf7-a806-459a-af7b-051234fdcf11"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "1", "subitem_journal_title": "Journal of Research and Applications (JRA), UCSMTLA, 2019", "subitem_pages": "208-213", "subitem_volume": "1"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Phyu Phyu Khaing"}, {"subitem_authors_fullname": "Myint San"}, {"subitem_authors_fullname": "Mie Mie Aung"}]}]}, "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": "2019-12-11"}, "item_title": "Analaysis on Residual Network Models for Image Description Generation", "item_type_id": "21", "owner": "71", "path": ["1582963674932", "1597397050488"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000007371", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2021-01-11"}, "publish_date": "2021-01-11", "publish_status": "0", "recid": "7371", "relation": {}, "relation_version_is_last": true, "title": ["Analaysis on Residual Network Models for Image Description Generation"], "weko_shared_id": -1}