{"created":"2020-09-01T15:26:04.121690+00:00","id":4871,"links":{},"metadata":{"_buckets":{"deposit":"2555381f-0fa9-4fad-a61f-a10ef3894662"},"_deposit":{"id":"4871","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4871"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4871","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Video Steganalysis Using Histogram and Texture Features","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Information hiding in video streams with thedevelopment of network and multimedia technologieshas played an important role in the steganographicalfield, and correspondingly video stegnanlysis techniquesare catching attention of the security d epartment of eachgovernment. This paper presents an improvedsteganalysis technique to detect the presence of hiddenme ssages. In order to identify and classify the two typesof feature are used. The first type feature is texturefeature that is computed by statistical, p sychologicaland signal processing The second type feature is thestate of the art histogram based features This system isclassified by using a Support Vector Machine ( SVMClassification is performed between actual videoframes, steganograpyh frames from MSU u nique toolfor hiding information in video) allows hiding text file ina video sequence. SVM is excellent classifier for twoclass problem that give higher detection accuracy ratefor this system. Experimental results show that theproposed scheme can effectively detect whether a videohas been processed by stego or not."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value":[]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-07-11"}],"displaytype":"preview","filename":"11071.pdf","filesize":[{"value":"557 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4871/files/11071.pdf"},"version_id":"24813ee6-dd40-4e18-bbec-c421fda184df"}]},"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":"Htet, Thu Thu"},{"subitem_authors_fullname":"Mya, Khin Than"}]}]},"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/123456789/767"},"item_title":"Video Steganalysis Using Histogram and Texture Features","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-11","publish_status":"0","recid":"4871","relation_version_is_last":true,"title":["Video Steganalysis Using Histogram and Texture Features"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T03:32:47.801567+00:00"}