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Annotating handwritten documents for training deep learning models is a major issue in handwritten text recognition. It requires manual effort to annotate each word in a document to specify the ground truth. Often documents contain struck-out text which ...

• Sensitivity test on compressed-domain encoder-types and encoding-profiles.
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Intra-prediction modes (IPMs) of H.264/AVC, as visual feature components, are easily extracted from the compressed domain. However, in spite of their efficiency and effectiveness, they can be sensitive to encoder settings such as ...

Searching for images is an everyday activity. Nevertheless, even a highly skilled searcher often struggles to find what they are looking for. This article studies the factors that affect users' online web image search behaviour, investigating 1 the use ...

The segmentation into acts of a circus performance video is challenging as the content has similar characteristics to other performance videos but is quite different from movies, TV programs, and home videos. Segmentation is useful as a long duration ...

Sustainability indicators are increasingly being used to measure the economic, environmental and social properties of complex systems across different temporal and spatial scales. This motivates their inclusion in open distributed knowledge ...

Many organizations often need to share semantic knowledge base content with selected members of other organizations. However, sharing semantic knowledge across different organizations is a critical problem. This is because the differences in the ...

This paper presents a software application for sustainability reporting where a multi-agent system is an integral part of the overall architecture. We describe the social science philosophy and approach on which the application is based, and the ways in ...

There have been several studies of online newspapers that use web server logs to analyze traffic and their user behavior but most of these studies were undertaken requiring a demographic profile of the users. Our study adds to the literature by ...

This paper introduces a global descriptor from the compressed video domain (H.264) for near duplicate video copy detection tasks. The proposed descriptor uses a spatial-temporal feature structure in an ordinal pattern distribution format. The proposed ...

The success of an enterprise information retrieval system is determined by interactions among three key entities: the search engine employed; the service provider who delivers, modifies, and maintains the engine; and the users of the service within the ...

Using eye tracking in the evaluation of web search interfaces can provide rich information on users' information search behaviour, particularly in the matter of user interaction with different informative components on a search results screen. One of ...

Semantic models help in achieving semantic interoperability among sources of data and applications. The necessity to efficiently manage these types of objects has increased the number of specialized repositories, usually referred to as semantic ...

We present an ontology to represent the key concepts of sustainability indicators that are increasingly being used to measure the economic, environmental and social properties of complex systems. There have been few efforts to represent multiple ...

We have developed a software application for a new, emerging approach to sustainability reporting, where a multi-agent system is an integral part of the overall architecture. The agent-oriented approach readily achieves the functionality required for ...

The value of a single dataset is increased when it is linked to combinations of datasets to provide users with more information. Linked Data is a style of publishing data on the Web by using a structured machine-readable format, RDF, and semantically ...

The use of cloud computing has increased rapidly in many organizations. Cloud computing provides many benefits in terms of low cost and accessibility of data. Ensuring the security of cloud computing is a major factor in the cloud computing environment, ...

Maintaining strictness in dimensions is important in integration of data warehouses. A dimension that satisfies all of its roll-up constraints is said to be strict, a property that is required for correct aggregation. Existing work on instance matching ...

In this paper, we introduce an approach for training a Named Entity Recognizer (NER) from a set of seed entities on the web. Creating training data for NERs is tedious, time consuming, and becomes more difficult with a growing set of entity types that ...

Star schemas describe the structure and properties of multidimensional sources such as data marts and data warehouses. They have a simple structure and a predictable topology. We propose Star-Mod a representation of Star schema model described in UML ...