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OPUS combines production technologies of the commercial document capture world with the special and uncompromising needs of preservationists. The result is a high performance digitization system that can be customized for large and challenging digitization projects or used ‘out-of-the-box.’ In either case, OPUS can be configured to produce output at virtually any quality level while offering the highest throughput possible today.In the OPUS model, digitization for access is the same as for preservation, but the image files output at the end of processing are much smaller. With good production methodologies in place, it makes sense to capture for preservation and then output several derivatives, including one or more specifically for access. However, if a volume is being digitized exclusively for access and maximum production efficiency is desired, OPUS allows users to minimize manual labor.


OPUS Features

  • A highly efficient workflow system for digitizing for
    preservation or for access
  • Control and management of image files, metadata,
    content and derivatives from the point a volume is
    queued up for scanning through image cleanup,
    metadata capture, derivative creation and export
  • Facilities for capturing metadata prior to scanning,
    directly from the volume itself, or after scanning,
    from the images
  • Automated ‘two up’ image splitting, book-fold
    correction, crop & de-skew and other image
    treatment functions
  • Manual review and adjustment of automated image
    treatment results
  • Automated metadata capture – OCR and intelligent
    interpretation
  • Manual review and adjustment of metadata
    automatically capture
  • Multiple derivatives creation

 

Once the objects for a desired digital collection have been sought, found and selected, barcoded ‘pull sheets’ can be printed and the objects gathered for digitization. With physical object in hand, preservationists can select a metadata template, modify the template to perfectly fit the object, print barcode metadata sheets and insert them in front of the pages that they correspond to, then submit the volume for scanning. Or, all metadata work can be postponed until after image treatment has been performed and OPUS has made a first pass at identifying metadata, automatically.

From the exotic and sophisticated, automatic page turning scanners to Bookeye, WideTEK and even Epson scanners, OPUS supports virtually any scanner that provides sufficient quality for the desired output. OPUS either runs the scanner directly or can be configured to automatically import images from the scanner.

Automatic image treatment consists of numerous functions, including book-fold correction, ‘two up’ page splitting, de-skew, content location, application of fixed margins, color correction, and de-speckle.

The manual image treatment stage allows all pages to be reviewed and any that is not processed to the desired quality level can be reprocessed using manual and semi-automatic processing. When the page is acceptable, the user advances to the next page.

OPUS offers an automatic metadata capture system that looks for common metadata such as book title, author, publisher, table of contents, section and chapter names, and page numbers.

Automatic metadata capture is a wonderful concept, but expecting a software program to know what’s what is a tall order, especially with artificial intelligence still in its infancy. So, the Digital Library Systems Group at Image Access invested substantially in software engineering to produce a facility for efficiently reviewing and editing the results of the automatic metadata. Not only can text be changed, but the actual metadata elements can be rearranged or deleted and new elements added.

Once an object has been processed to this stage, derivative creation can be a fully automatic process. It is at this stage that high, medium and low resolution PDF, JPEG, TIFF and other image files are created. In addition, metadata is output to any number of custom formats and
to standard formats such as METS XML.

Release is the final stage of OPUS. It can be as simple as copying the files to a special directory structure or as complex as a sophisticated relational database on a SQL server.















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