One addition. Your "ImageAnnotation" type would inherit from TOP, not from Annotation or AnnotatioBase.
Cheers, Richard Am 11.08.2011 um 13:43 schrieb Richard Eckart de Castilho: > Hello Alex, > > I haven't done this yet, but I still might be able to provide some starters: > > The methods you have to deal with are CAS.setSofaDataArray() or > CAS.setSofaDataUri() and CAS.getSofaDataArray() or CAS.getSofaDataStream(). > With these methods you can add internal or external binary information to the > CAS. Depending on the format of your binary data, you will have to define > your own annotation types, e.g. an ImageAnnotation that has features for top, > left, bottom, right. You may then add custom methods to the generated JCas > type e.g. to extract a part of the image from the binary data and return it > in a convenient format - this would be your custom equivalent of a > getCoveredText() from the Annotation type. If you are using video or audio, > your features and extraction functions would be different of course. > > Cheers, > > Richard > > Am 11.08.2011 um 10:23 schrieb Alexander Klenner: > >> Hi folks, >> >> I have been playing around with UIMA for some time now and I came to a point >> were I cannot find any supporting information anymore, it is CASes that are >> different from plain text. Is there any example of a CAS being a picture or >> video? All the standard CAS functionalities such as .getDocumentText() or >> even the `begin` and `end` markers for annotations that are dependend on >> characters in text won't make sense anymore. Or is it that I have to see the >> CAS as a textual representation of a picture? Maybe someone can point me in >> the correct direction of thinking here. Examples, if existing, would be >> great of course. >> >> Thanks a lot and best regards, >> >> Alex > Richard Eckart de Castilho -- ------------------------------------------------------------------- Richard Eckart de Castilho Technical Lead Ubiquitous Knowledge Processing Lab FB 20 Computer Science Department Technische Universität Darmstadt Hochschulstr. 10, D-64289 Darmstadt, Germany phone [+49] (0)6151 16-7477, fax -5455, room S2/02/B117 [email protected] www.ukp.tu-darmstadt.de Web Research at TU Darmstadt (WeRC) www.werc.tu-darmstadt.de -------------------------------------------------------------------
