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 > > > > > > -- > Dipl. Bioinformatiker Alexander G. Klenner > Fraunhofer-Institute for Algorithms and Scientific Computing (SCAI) > Schloss Birlinghoven, D-53754 Sankt Augustin > Tel.: +49 - 2241 - 14 - 2736 > E-mail: [email protected] > Internet: http://www.scai.fraunhofer.de > > 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 -------------------------------------------------------------------
