Academic staff development in the pedagogical applications of new technologies is fundamental to the transformation of teaching and learning in tertiary education settings. We present a case study of a staff development activity at Deakin University, a multi-campus university offering on and off-campus programs, which aimed to develop a collegial online experience for academics interested in us...

This paper describes the diversity enabled retrieval system constructed at Southampton for the ImageCLEFphoto 2009 task. The retrieval system used Terrier as the underlying textual indexing and retrieval system, and combined it with a technique for re-ranking the results by maximising the visual dissimilarity of retrieved images. The results show that our visual re-ranking methods does indeed w...

Deceptive behavior is common in online dating because personal profiles can be easily manipulated. This study conducts two experiments to examine contradictory deceptive behavior in online dating. The results of Experiment 1 showed that users have lower perceptions of authenticity evaluations of daters’ self-provided photographs with strong physical attractiveness than for those with low physic...

This paper describes our system participated in the Japanese and English Retrieval Subtasks at the NTCIR-6 Patent Retrieval Task. The purpose of these subtasks is the invalidity search, in which a patent application including a target claim is used to search documents that can invalidate the demand in the claim. Although we use a regular text-based retrieval method for the Japanese Retrieval Su...

With the development of multimedia data types and available bandwidth there is huge demand of video retrieval systems, as users shift from text based retrieval systems to content based retrieval systems. Selection of extracted features play an important role in content based video retrieval regardless of video attributes being under consideration. These features are intended for selecting, inde...

In this paper, we describe a method of automatically generating summary slides from a text. The slides are generated by itemizing topic/non-topic parts that are extracted from the text based on syntactic/case analysis. The indentations of the items are controlled according to the discourse structure, which is detected by cue phrases, identification of word chain and similarity between two sente...

This paper describes recent extensions to LOLC, a text-based environment for collaborative improvisation for laptop ensembles, which integrate acoustic instrumental musicians into the environment. Laptop musicians author short commands to create, transform, and share pre-composed musical fragments, and the resulting notation is digitally displayed, in real time, to instrumental musicians to sig...

Shape retrieval can benefit from analogies among similar shapes and parts of different objects. By partitioning an object to meaningful parts and finding analogous parts in other objects, sub-parts and partial match queries can be utilized. First by searching for similar parts in the context of their shape, and second by finding similarities even among objects that differ in their general shape...

In this paper we describe computational approaches to summarizing dynamically introduced information: online discussions and blogs, and their evaluations. Research in the past has been mainly focused on text-based summarization where the input data is predominantly newswire data. When branching into these newly emerged data types, we face number of difficulties that are discussed here.