© Enhanced Bleed Through Removal Using Normalized Picture Information

As part of the ROBOSENS project, the IITB developed and tested a new four-step concept for multiple sensor quality monitoring. The robot-based system uses an array of test-specific short-range and wide-range sensors which make the inspection process more flexible and problem-specific. To test this innovative inline quality monitoring concept and to adapt it to customized tasks, a development an...

The study presents a web-based productive vocabulary assessment tool, the internet Picture Naming Test (iPNT). The iPNT is administered online and takes eight minutes to complete. The iPNT assesses vocabulary knowledge by rating participants’ responses to 120 colored drawings of simple objects. Participants type the names of the objects and the names are saved as a computer file that can be upl...

Researchers are currently more interested in searching for fragments that are similar to a query, than a total data item that is similar to a query; the search interest is for “contains”, not “is”. This paper presents an ) (logn O algorithm, called the “generalized virtual node (GVN)” algorithm; the GVN algorithm is a search algorithm for data fragments that have similar contents to that of a q...

BACKGROUND Globally, health expenditure as a percentage of GDP has increased in recent years, so evaluating the health care systems used in different countries is an important tool for identifying best practices and improving inefficient health care systems. OBJECTIVE We investigate health system efficiency at the country level based on OECD health data. We focus on several aspects of health ...

Often when we review our holiday photos, we notice things we wish we could have avoided, such as vehicles, construction work, or simply other tourists. We cannot go back and retake the photo, so what can we do if we want to remove these things from our photos? We want to replace these sections of the image in a convincing way, preferably with what would really have been seen there without the o...

We present a new algorithm to dynamically identify perceptually important regions in pictures of a video sequence. For each macroblock, the distortion that its loss would cause at the decoder is computed. High-distortion macroblocks are then grouped together into slices to be protected with forward error correction or to be sent as “premium” packets. We developed the approach for the case of vi...

We introduce a model of automaton for picture language recognition which is based on tiles and is called Wang automaton, since its description relies on the notation of Wang systems. Wang automata combine features of both online tessellation acceptors and 4-ways automata: as in online tessellation acceptors, computation assigns states to each picture position; as in 4-way automata, the input he...

Case-based reasoning systems solve new problems by retrieving and adapting the solutions to similar previously solved problems. The success and performance of any case-based reasoning system depends critically on its repository of prior problem solving experiences, the cases in its case-base. It is perhaps surprising then that the case-based reasoning community has only recently begun to invest...