{"action":"created","issue":{"url":"https://api.github.com/repos/OCR-D/spec/issues/76","repository_url":"https://api.github.com/repos/OCR-D/spec","labels_url":"https://api.github.com/repos/OCR-D/spec/issues/76/labels{/name}","comments_url":"https://api.github.com/repos/OCR-D/spec/issues/76/comments","events_url":"https://api.github.com/repos/OCR-D/spec/issues/76/events","html_url":"https://github.com/OCR-D/spec/issues/76","id":362206806,"node_id":"MDU6SXNzdWUzNjIyMDY4MDY=","number":76,"title":"Modelling font 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kind of font information do we need to encode?\r\n\r\n* Font family\r\n* Font family group/cluster/class (as they make sense for training and using the right models, blackletter vs roman)\r\n* Font style (bold, italic, \"gesperrt\")\r\n* specific attributes (e.g. \"this page contains roman with long-s\")\r\n\r\n...\r\n\r\nDo we encode this page-wise (in METS) or in PAGE?\r\n\r\nHow do we want to encode it? Does PAGE have all the necessary attributes so we do not have to rely on `custom`?\r\n\r\n@VChristlein @bertsky @finkf @seuretm"},"comment":{"url":"https://api.github.com/repos/OCR-D/spec/issues/comments/423452243","html_url":"https://github.com/OCR-D/spec/issues/76#issuecomment-423452243","issue_url":"https://api.github.com/repos/OCR-D/spec/issues/76","id":423452243,"node_id":"MDEyOklzc3VlQ29tbWVudDQyMzQ1MjI0Mw==","user":{"login":"kba","id":273367,"node_id":"MDQ6VXNlcjI3MzM2Nw==","avatar_url":"https://avatars0.githubusercontent.com/u/273367?v=4","gravatar_id":"","url":"https://api.github.com/users/kba","html_url":"https://github.com/kba","followers_url":"https://api.github.com/users/kba/followers","following_url":"https://api.github.com/users/kba/following{/other_user}","gists_url":"https://api.github.com/users/kba/gists{/gist_id}","starred_url":"https://api.github.com/users/kba/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/kba/subscriptions","organizations_url":"https://api.github.com/users/kba/orgs","repos_url":"https://api.github.com/users/kba/repos","events_url":"https://api.github.com/users/kba/events{/privacy}","received_events_url":"https://api.github.com/users/kba/received_events","type":"User","site_admin":false},"created_at":"2018-09-21T08:13:32Z","updated_at":"2018-09-21T08:13:32Z","author_association":"MEMBER","body":"@stweil True, these are just examples to start a discussion. At this point, I'm most interested what types of font information needs there are and how we model them so we can produce matching ground truth data ASAP.\r\n\r\n@bertsky Thanks for the feedback.\r\n\r\n@VChristlein @seuretm You mentioned in the call that you've been identifying some 8 clusters of types. Can you explain the features that they share?\r\n\r\nOff the top of my head I am thinking at the moment to misuse `@fontFamily` to contain space separated (think HTML `@class`) font names and font feature sets from a controlled vocabulary. Possibly with suffixed confidence value (like `fontFamily=\"blackletter schwabacher:0.7 textualis:0.3\"`). And possibly a convention to use the boolean attributes like `bold`, `italic` only if confidence is `1` and fall back to further misuse `fontFamily` to include them there with confidence values.\r\n\r\n\r\n\r\n"}}
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