MLCMS actual use, perceived use, and experiences of use

Mobile learning involves use of mobile devices to participate in learning activities. Most elearning activities are available to participants through learning systems such as learning content management systems (LCMS). Due to certain challenges, LCMS are not equally accessible on all mobile devices. This study investigates actual use, perceived usefulness and user experiences of LCMS use on mobile phones at Makerere University in Uganda. The study identifies challenges pertaining to use and discusses how to improve LCMS use on mobile phones. Such solutions are a cornerstone in enabling and improving mobile learning. Data was collected by means of focus group discussions, an online survey designed based on the Technology Acceptance Model (TAM), and LCMS log files of user activities. Data was collected from two courses where Moodle was used as a learning platform. The results indicate positive attitudes towards use of LCMS on phones but also huge challenges whichare content related and technical in nature.

Using social software to support the teaching of IT professional practice

Social software has been used to support problem-based learning activities in a wholly online information technology (IT) professional practice course at Deakin University since 2006. When the course was first delivered, the authentic learning environment was a website, with an intranet and team forums created in Drupal, the open source content management system (CMS). Although this environment was suitable, feedback from students and teaching staff highlighted areas where improvements could be made. In the second year of the course, Joomla!, the open source CMS, in combination with Simple Machines Forum (SMF), the open source online discussion community software, was used to provide the website, as well as the intranet and team forums respectively. Feedback in 2007 was more positive, suggesting that the Joomla!-SMF social software combination and the features implemented, improved the learning and teaching experience in comparison to the 2006 version of the course.

A conceptual framework for the implementation of enterprise information portals in large organizations

Addressing the diversity in information requirements across the enterprise is a central challenge in enterprise content management. Enterprise information portals (EIPs) hold promise in this regard, offering each user a gateway to customized and personalized content. However, in large organizations EIP implementers face the complexity of tailoring portals for potentially thousands of users. A conceptual framework based on marketing fundamentals is developed to inform EIP implementation in this respect. It is argued that EIP implementers should view their user community as a number of distinct segments in order to address divergent needs more specifically (as opposed to a ‘one size fits all’ approach). For each identified segment, a ‘mix’ of content (product), distribution (place), promotion and price (cost) should be considered. The framework is applied to two cases of EIP implementation in large organizations. It is proposed that segmentation enables better planning of the overall EIP implementation effort. Considerations such as the number of user segments, customization, and personalization of content, and the funding of EIP development in large organizations are also discussed. The concepts elaborated here also hold theoretical relevance for other IS implementation contexts that involve very large usercommunities with diverse information

A digital watermarking scheme for Bezier surfaces

Owners and vendors are increasingly publishing their materials in digital form. Because such materials can be exactly copied, a mechanism is required that will protect the legitimate owners of these works, by providing proof of original ownership. Digital watermarking has now become one accepted method of establishing ownership of digital materials. The owner of a work embeds a pattern, called a digital watermark, in the content. This embedded watermark is normally undetectable, but its presence can be demonstrated by the owner of the work or his agent, thereby proving ownership. Digital watermarking has been used for many types of multimedia content, primarily audio, video and flat images. Recently, interest has been shown in applying digital watermarking schemes to 3D surfaces, in various formats. In this paper, we examine a method whereby a digital watermark can be embedded in a Bezier surface. A prototype watermarking method for such surfaces is presented, with some experimental results, and a discussion of directions for future research.

Design of secure watermarking scheme for watermarking protocol

Watermarking technique enables to hide an imperceptible watermark into a multimedia content for copyright protection. However, in most conventional watermarking schemes, the watermark is embedded solely by the seller, and both the seller and the buyer know the watermarked copy, which causes unsettled dispute at the phase of arbitration. To solve this problem, many watermarking protocols have been proposed using watermarking scheme in the encrypted domain. In this paper, we firstly discuss many security aspects in the encrypted domain, and then propose a new method of homomorphism conversion for probabilistic public key cryptosystem with homomorphic property. Based on our previous work, a new secure watermarking scheme for watermarking protocol is presented using a new embedding strategy in the encrypted domain. We employ an El Gamal variant cryptosystem with additive homomorphic property to reduce the computing overload of watermark embedding in the encrypted domain, and RA code to improve the robustness of the watermarked image against many moderate attacks after decryption. Security analysis and experiment demonstrate that the secure watermarking scheme is more suitable for implementing the existing watermarking protocols.

Blogs bother me : social media, journalism and the curriculum

This paper grew out of the authors’ interest in updating the journalism curriculum at AUT (Aukland University of Technology) to better reflect the impact of online media, including social media, on the work of journalists. The challenge for journalism educators is to remain relevant in rapidly changing news and education environments. Our study suggests that while the vast majority of students have some engagement with social media, particularly social networking, and are aware that it can be a powerful tool for journalists, they are still not entirely comfortable with its techniques and they are not experimenting with social media as a production platform as much as we first thought. In short, it appears that they do not have command of professional fluency with social media tools. In response to these findings we have begun to introduce some social media tools and processes directly into the units we teach, in particular: digital story-telling techniques; the use of Twitter and location-based applications; encouraging the ethical use of Facebook etc. for sourcing stories and talent for interviews; podcasting, soundslides and video for the Web, Dreamweaver, InDesign and PHP-based content management systems. We do not see the work to date as the end-point of the changes that we know are necessary, but we are acutely aware of the limitations (structural, institutional and financial) that suggest we should continue with this small-steps approach for the foreseeable future.

Film audio pace

We explore the concept of film pace expressed through audio to analyse the film at a semantic level. We use domain knowledge to derive a number of measures for film audio pace. We then apply the audio pace to examine two semantic concepts: counterpoint and narrative structure. Counterpoint is a method used to highlight a salient event by contrasting the visual and audio aspects of a film. We divide narrative structure into visual narration, action, and audio narration, plot development. We hypothesise that changes in the narrative structure signal a change in the audio pace. We then test this hypothesis using eight films of varying genres. A pattern was established linking the audio pace features, guided by the properties of the audio energy, to the narrative structure. The method was successful in determining the narrative structure for seven of the films, achieving an overall precision of 76.4% and recall of 80.3%.

Finding the beat : an analysis of the rhythmic elements of motion pictures

This paper presents a new study on the application of the framework of Computational Media Aesthetics to the problem of automated understanding of film. Leveraging Film Grammar as the means to closing the "semantic gap" in media analysis, we examine film rhythm, a powerful narrative concept used to endow structure and form to the film compositionally and enhance its lyrical quality experientially. The novelty of this paper lies in the specification and investigation of the rhythmic elements that are present in two cinematic devices; namely motion and editing patterns, and their potential usefulness to automated content annotation and management systems. In our rhythm model, motion behavior is classified as being either nonexistent, fluid or staccato for a given shot. Shot neighborhoods in movies are then grouped by proportional makeup of these motion behavioral classes to yield seven high-level rhythmic arrangements that prove to be adept at indicating likely scene content (e.g. dialogue or chase sequence) in our experiments. The second part of our investigation presents a computational model to detect editing patterns as either metric, accelerated, decelerated or free. Details of the algorithm for the extraction of these classes are presented, along with experimental results on real movie data. We show with an investigation of combined rhythmic patterns that, while detailed content identification via rhythm types alone is not possible by virtue of the fact that film is not codified to this level in terms of rhythmic elements, analysis of the combined motion/editing rhythms can allow us to determine that the content has changed and hypothesize as to why this is so. We present three such categories of change and demonstrate their efficacy for capturing useful film elements (e.g. scene change precipitated by plot event), by providing data support from five motion pictures.

Scene extraction in motion pictures

This paper addresses the challenge of bridging the semantic gap between the rich meaning users desire when they query to locate and browse media and the shallowness of media descriptions that can be computed in today's content management systems. To facilitate high-level semantics-based content annotation and interpretation, we tackle the problem of automatic decomposition of motion pictures into meaningful story units, namely scenes. Since a scene is a complicated and subjective concept, we first propose guidelines from fill production to determine when a scene change occurs. We then investigate different rules and conventions followed as part of Fill Grammar that would guide and shape an algorithmic solution for determining a scene. Two different techniques using intershot analysis are proposed as solutions in this paper. In addition, we present different refinement mechanisms, such as film-punctuation detection founded on Film Grammar, to further improve the results. These refinement techniques demonstrate significant improvements in overall performance. Furthermore, we analyze errors in the context of film-production techniques, which offer useful insights into the limitations of our method.

Flickr hypergroups

The amount of multimedia content available online constantly increases, and this leads to problems for users who search for content or similar communities. Users in Flickr often self-organize in user communities through Flickr Groups. These groups are particularly interesting as they are a natural instantiation of the content + relations social media paradigm. We propose a novel approach to group searching through hypergroup discovery. Starting from roughly 11,000 Flickr groups' content and membership information, we create three different bag-of-word representations for groups, on which we learn probabilistic topic models. Finally, we cast the hypergroup discovery as a clustering problem that is solved via probabilistic affinity propagation. We show that hypergroups so found are generally consistent and can be described through topic-based and similarity-based measures. Our proposed solution could be relatively easily implemented as an application to enrich Flickr's traditional group search.

Automatically learning structural units in educational videos with the hierarchical hidden Markov models

In this paper we present a coherent approach using the hierarchical HMM with shared structures to extract the structural units that form the building blocks of an education/training video. Rather than using hand-crafted approaches to define the structural units, we use the data from nine training videos to learn the parameters of the HHMM, and thus naturally extract the hierarchy. We then study this hierarchy and examine the nature of the structure at different levels of abstraction. Since the observable is continuous, we also show how to extend the parameter learning in the HHMM to deal with continuous observations.

Indexing narrative structure and semantics in motion pictures with a probabilistic framework

This work constitutes the first attempt to extract an important narrative structure, the 3-Act story telling paradigm, in film. This narrative structure is prevalent in the domain of film as it forms the foundation and framework in which the film can be made to function as an effective tool for story telling, and its extraction is a vital step in automatic content management for film data. A novel act boundary likelihood function for Act 1 is derived using a Bayesian formulation under guidance from film grammar, tested under many configurations and the results are reported for experiments involving 25 full length movies. The formulation is shown to be a useful tool in both the automatic and semi-interactive setting for semantic analysis of film.

Ideals and realities in Chinese immigrant parenting: Tiger mother versus others

This paper is about Chinese immigrant parenting. Drawing on discourses of cultural ideals and living realities of Chinese immigrants, it sketches the complex cultural and contextual web of Chinese immigrant parenting, and explains why the tiger mother practice illustrated in one of the 2011 bestselling books Battle Hymn of the Tiger Mother was a story of a mother’s pursuit of cultural ideals in her parenting. The paper proposes that traditions and contexts both play an important role in the constitution of parental expectations and practices of Chinese immigrants.

A Resource Centric Approach For Advancing Collaboration Through Hydrologic Data And Model Sharing

HydroShare is an online, collaborative system being developed for open sharing of hydrologic data and models. The goal of HydroShare is to enable scientists to easily discover and access hydrologic data and models, retrieve them to their desktop or perform analyses in a distributed computing environment that may include grid, cloud or high performance computing model instances as necessary. Scientists may also publish outcomes (data, results or models) into HydroShare, using the system as a collaboration platform for sharing data, models and analyses. HydroShare is expanding the data sharing capability of the CUAHSI Hydrologic Information System by broadening the classes of data accommodated, creating new capability to share models and model components, and taking advantage of emerging social media functionality to enhance information about and collaboration around hydrologic data and models. One of the fundamental concepts in HydroShare is that of a Resource. All content is represented using a Resource Data Model that separates system and science metadata and has elements common to all resources as well as elements specific to the types of resources HydroShare will support. These will include different data types used in the hydrology community and models and workflows that require metadata on execution functionality. The HydroShare web interface and social media functions are being developed using the Drupal content management system. A geospatial visualization and analysis component enables searching, visualizing, and analyzing geographic datasets. The integrated Rule-Oriented Data System (iRODS) is being used to manage federated data content and perform rule-based background actions on data and model resources, including parsing to generate metadata catalog information and the execution of models and workflows. This presentation will introduce the HydroShare functionality developed to date, describe key elements of the Resource Data Model and outline the roadmap for future development.