Multiprocessor DSP Implementation of the JPEG 2000 Codec

The transition to JPEG2000 from other image formats such as standard JPEG offers im proved compression and image quality, yet has not been widely adopted in practice. This is mainly due to the complexity of the JPEG2000 algorithm. Standard JPEG uses the Discrete Cosine Transform (DCT) and Huffmann encoding to achieve its compression, whereas JPEG2000 uses the wavelet transform and arithmetic encoding. Due to the wide acceptance of JPEG, there are processors such as Equator Technology\u27s BSP-15 digital signal processor (DSP) that have been designed with features specifically for JPEG appli cations. For some of the current digital printing applications where JPEG is used, images must be encoded and decoded at rates exceeding 100 pages per minute. A multiprocessor environment consisting of Equator Technology\u27s BSP-15 processors may offer acceptable performance for the JPEG2000 codec. The aim of this work is to design a JPEG2000 codec for the BSP-15 processor and to determine if this processor is capable of delivering the performance required by high end digital printers. The features of the BSP-15 that are well suited for the JPEG2000 algorithm will be discussed, as well as future improvements that could be incorporated into the architecture. By analyzing the advantages and disadvantages of this processor, the next generation of processors may be able to offer features that will allow it to excel in JPEG2000 processing. A multiprocessor DSP implementation of the JPEG2000 codec is the main result of this work. The resulting codec is able to provide more than double the processing throughput of existing JPEG2000 software

An object-oriented toolkit for music notation

This thesis investigates the design and implementation of an object-oriented toolkit for music notation. It considers whether object-oriented technology provides features that are desirable for representing music notation. The ability to sympathetically represent the conventions of music notation provides software tools that are flexible to use, and easily extended to represent less common features of music notation. The design and implementation of an object-oriented class hierarchy that captures the structural and semantic relationships of music notation symbols is described. Functions that search for symbols, and update symbol positions are also implemented. Traditional context-sensitive and spatial relationships between music symbols may be maintained, or extended to provide notational features found in modern music. MIDI functionality includes the ability to play music notation and to allow step-recording of MIDI events. The toolkit has been designed to simplify the creation of applications that make use of music notation; example applications are created to demonstrate its capabilities.Microsoft WordAdobe Acrobat 9.46 Paper Capture Plug-i

Template-Based Metadata Extraction for Heterogeneous Collection

With the growth of the Internet and related tools, there has been a rapid growth of online resources. In particular, by using high-quality OCR (Optical Character Recognition) tools it has become easy to convert an existing corpus into digital form and make it available online. However, a number of organizations have legacy collections that lack metadata. The lack of metadata hampers not only the discovery and dispersion of these collections over the Web, but also their interoperability with other collections. Unfortunately, manual metadata creation is expensive and time-consuming for a large collection, and most existing automated metadata extraction approaches have focused on specific domains and homogeneous collections. Developing an approach to extract metadata automatically from a large number of challenges. In particular, the heterogeneous legacy collection poses a following issues need to be addressed: (1) Heterogeneity, i.e. how to achieve a high accuracy for a heterogeneous collection; (2) Scaling, i.e. how to apply an automated metadata extraction approach to a very large collection; (3) Evolution, i.e. how to process new documents added to a collection over time; (4) Adaptability, i.e. how to apply an approach to a new document collection; (5) Complexity, i.e. how many document features can be handled, and how complex the features should be. In this dissertation, we propose a template-based metadata extraction approach to address these issues. The key idea of addressing the heterogeneity is to classify documents into equivalent groups so that each document group contains similar documents only. Next, for each document group we create a template that contains a set of rules to instruct a template engine how to extract metadata from documents in the group. Templates are written in an XML-based language and kept in separate files. Our approach of decoupling rules from programming codes and representing them in a XML format is easy to adapt to another collection with documents in different styles. We developed our test bed by downloading about 10,000 documents from DTIC (Defense Technical Information Center) document collection that consists of scanned versions of documents in PDF (Portable Document Format) format. We have evaluated our approach on the test bed consisting of documents from DTIC collection, and our results are encouraging. We have also demonstrated how the extracted metadata can be utilized to integrate our test bed with an interoperable digital library framework based on OAI (Open Archives Initiative)