Automatic extraction of abnormal regions from lung images

A system that could automatically extract abnormal lung regions may assist expert radiologists in verifying lung tissue abnormalities. This paper presents an automated lung nodule detection system consisting of five components: acquisition, pre-processing, background removal, detection, and false positives reduction. The system employs a combination of an ensemble classification and clustering methods. The performance of the developed system is compared against some existing counterparts. Based 011 the experimental results, the proposed system achieved a sensitivity of 100% and a false-positives/slice of 0.67 for 30 tested CT images.

Exposing young children to music through the production and presentation of music-appreciation television programs

This paper reports on a research study of the effectiveness of a series of music-appreciation activities for young children in Hong Kong. These activities were designed using world music and were presented as part of a local early childhood television program for community interest. One-undred-and-sixty-eight local preschool children (mean age 4.25) and their classroom teachers, from 16 childcare centres or kindergartens, participated in this study. Qualitative data was collected using individual structured interviews with both children and teachers. The data showed that these music-appreciation activities enriched children's musical experiences and teachers' musical repertoires in early childhood settings. Teachers also showed positive preferences to learn the activities using multimedia tools. Implications for the curriculum planning and teacher training of early childhood music education are discussed.

A study of the effectiveness of music appreciation TV programs for young children in Hong Kong

This paper provides a preliminary report of a small-scale research examining the effectiveness of a series of Music Appreciation segments of “Pre-school: Learn to Fly”—a locally designed and produced early childhood TV program in Hong Kong. Four aspects of young children’s musical development were studied: 1) musical exposure; 2) attention span; 3) response to music; and 4) musical memory. The findings enrich local understanding of early childhood music education and media, and provide more information for the production of the next series from late 2004.

Toward automatic extraction of expressive elements from motion pictures : tempo

This paper addresses the challenge of bridging the semantic gap that exists between the simplicity of features that can be currently computed in automated content indexing systems and the richness of semantics in user queries posed for media search and retrieval. It proposes a unique computational approach to extraction of expressive elements of motion pictures for deriving high-level semantics of stories portrayed, thus enabling rich video annotation and interpretation. This approach, motivated and directed by the existing cinematic conventions known as film grammar, as a first step toward demonstrating its effectiveness, uses the attributes of motion and shot length to define and compute a novel measure of tempo of a movie. Tempo flow plots are defined and derived for a number of full-length movies and edge analysis is performed leading to the extraction of dramatic story sections and events signaled by their unique tempo. The results confirm tempo as a useful high-level semantic construct in its own right and a promising component of others such as rhythm, tone or mood of a film. In addition to the development of this computable tempo measure, a study is conducted as to the usefulness of biasing it toward either of its constituents, namely, motion or shot length. Finally, a refinement is made to the shot length normalizing mechanism, driven by the peculiar characteristics of shot length distribution exhibited by movies. Results of these additional studies, and possible applications and limitations are discussed.

Towards automatic extraction of expressive elements from motion pictures : tempo

This paper proposes a unique computational approach to extraction of expressive elements of motion pictures for deriving high level semantics of stories portrayed, thus enabling better video annotation and interpretation systems. This approach, motivated and directed by the existing cinematic conventions known as film grammar, as a first step towards demonstrating its effectiveness, uses the attributes of motion and shot length to define and compute a novel measure of tempo of a movie. Tempo flow plots are defined and derived for four full-length movies and edge analysis is performed leading to the extraction of dramatic story sections and events signaled by their unique tempo. The results confirm tempo as a useful attribute in its own right and a promising component of semantic constructs such as tone or mood of a film.

Automatic labeling of sports video using umpire gesture recognition

We present results on an extension to our approach for automatic sports video annotation. Sports video is augmented with accelerometer data from wrist bands worn by umpires in the game. We solve the problem of automatic segmentation and robust gesture classification using a hierarchical hidden Markov model in conjunction with a filler model. The hierarchical model allows us to consider gestures at different levels of abstraction and the filler model allows us to handle extraneous umpire movements. Results are presented for labeling video for a game of Cricket.

On the automatic indexing of cricket using camera motion parameters

This paper describes an application of camera motion estimation to index cricket games. The shots are labeled with the type of shot: glance left, glance right, left drive, right drive, left cut, right pull and straight drive. The method has the advantages that it is fast and avoids complex image segmentation. The classification of the cricket shots is done using an incremental learning algorithm. We tested the method on over 600 shots and the results show that the system has a classification accuracy of 74%.

The high seas (C’s) of music piracy in information systems : cost, convenience and choice

Systems and technologies used for unauthorised file sharing have received little attention in the Information Systems literature. This paper attempts to fill this gap by presenting a critical, qualitative study on the motivations for using unauthorised file sharing systems. Based on 30 interviews with music consumers, musicians, and the music industry, this paper reports on the decision of music consumers to ‘pirate or purchase’. This paper highlights file sharing from multiple perspectives of users, musicians, and representatives from the music recording industry. Three main themes emerged on the cost, convenience and choice as motivators for unauthorised file sharing.

Generative models for automatic recognition of human daily activities from a single triaxial accelerometer

In this work, we compare two generative models including Gaussian Mixture Model (GMM) and Hidden Markov Model (HMM) with Support Vector Machine (SVM) classifier for the recognition of six human daily activity (i.e., standing, walking, running, jumping, falling, sitting-down) from a single waist-worn tri-axial accelerometer signals through 4-fold cross-validation and testing on a total of thirteen subjects, achieving an average recognition accuracy of 96.43% and 98.21% in the first experiment and 95.51% and 98.72% in the second, respectively. The results demonstrate that both HMM and GMM are not only able to learn but also capable of generalization while the former outperformed the latter in the recognition of daily activities from a single waist worn tri-axial accelerometer. In addition, these two generative models enable the assessment of human activities based on acceleration signals with varying lengths.

Fear of music : sounded poetry and the poetry soundtrack

This essay proposes the term ‘poetry soundtrack’ for a form of sounded poetry that I have been practising for some years (examples of which can be found in this issue of Axon). The poetry soundtrack is a sonic object made up of original poetry, music, and sound design. Such a form is now being produced—under various names—by numerous poets, thanks to the development of the Digital Audio Workstation (or DAW). In my essay, I argue that the poetry soundtrack has occupied an aesthetic no man’s land between avant-garde ‘sound poetry’ and documentary-style recordings of poetry readings. I propose that a general ‘fear of music’ has led critics to favour such forms, and concomitantly to ignore musico-poetic forms of sounded poetry. In addition, I analyse the ‘digital poetics’ that can be found in producing sounded poetry with a DAW, especially with regard to the ‘vocal staging’ that such technology can produce in the poetry soundtrack.