A Framework for Supporting Reuse in Hypermedia

2011 ◽  
pp. 80-100
Author(s):  
Nick Bryan-Kinns
Keyword(s):  
Conceptual Framework ◽  
Video Content ◽  
Novel Approach ◽  
Hypermedia Applications

This chapter presents a conceptual framework which supports reuse in hypermedia applications. Reuse is important in hypermedia, and especially hypervideo, as it is rich in content but often costly to capture, store and annotate. The framework’s use is illustrated through three different example hypervideo applications which exhibit several forms of reuse. This chapter goes beyond the notion of reuse of parts of hypermedia applications and considers the reuse of classes of structure of hypermedia applications, and the issues relating to such reuse. Future systems can be developed which utilise this approach to modeling video content as illustrated in Bryan-Kinns (1998; 2000). The key contribution of this chapter is the illustration of a novel approach to modeling video, rather than how this could be implemented as discussed in other chapters.

INTENT RECOGNITION IN MULTI-AGENT SYSTEMS: COW HERDING

2014 ◽  
Vol 28 (05) ◽  
pp. 1459006
Author(s):  
NAJLA AHMAD ◽  
ARVIN AGAH
Keyword(s):  
Conceptual Framework ◽  
Recognition System ◽  
Plan Recognition ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Agent System ◽  
Intent Recognition ◽  
Domain Specific ◽  
Novel Approach ◽  
Multi Agent

In a multi-agent system, an agent may utilize its idle time to assist other agents in the system. Intent recognition is proposed to accomplish this with minimal communication. An agent performing recognition observes the tasks other agents are performing and, unlike the much studied field of plan recognition, the overall intent of an agent is recognized instead of a specific plan. The observing agent may use capabilities that it has not observed. A conceptual framework is proposed for intent recognition systems. An implementation of the conceptual framework is tested and evaluated. We hypothesize that using intent recognition in a multi-agent system increases utility (where utility is domain specific) and decreases the amount of communication. We test our hypotheses using the domain of Cow Herding, where agents attempt to herd cow agents into team corrals. A set of metrics, including task time and number of communications, is used to compare the performance of plan recognition and intent recognition. In our results, we find that intent recognition agents communicate fewer times than plan recognition agents. In addition, unlike plan recognition, when agents use the novel approach of intent recognition, they select unobserved actions to perform. Intent recognition agents were also able to outperform plan recognition agents by consistently scoring more points in the Cow Herding domain. This research shows that under certain conditions, an intent recognition system is more efficient than a plan recognition system. The advantage of intent recognition over plan recognition becomes more apparent in complex domains.

TRACKING MULTIPLE MOVING OBJECTS USING A LEVEL-SET METHOD

2004 ◽  
Vol 18 (02) ◽  
pp. 101-125 ◽  
Author(s):  
CHIA-JUNG CHANG ◽  
JUN-WEI HSIEH ◽  
YUNG-SHENG CHEN ◽  
WEN-FONG HU
Keyword(s):  
Level Set Method ◽  
Level Set ◽  
Moving Objects ◽  
Video Content ◽  
Subtraction Technique ◽  
Object Boundary ◽  
Novel Approach ◽  
Compensation Technique ◽  
Speed Function ◽  
Edge Based

This paper presents a novel approach to track multiple moving objects using the level-set method. The proposed method can track different objects no matter if they are rigid, nonrigid, merged, split, with shadows, or without shadows. At the first stage, the paper proposes an edge-based camera compensation technique for dealing with the problem of object tracking when the background is not static. Then, after camera compensation, different moving pixels can be easily extracted through a subtraction technique. Thus, a speed function with three ingredients, i.e. pixel motions, object variances and background variances, can be accordingly defined for guiding the process of object boundary detection. According to the defined speed function, different object boundaries can be efficiently detected and tracked by a curve evolution technique, i.e. the level-set-based method. Once desired objects have been extracted, in order to further understand the video content, this paper takes advantage of a relation table to identify and observe different behaviors of tracked objects. However, the above analysis sometimes fails due to the existence of shadows. To avoid this problem, this paper adopts a technique of Gaussian shadow modeling to remove all unwanted shadows. Experimental results show that the proposed method is much more robust and powerful than other traditional methods.

scholarly journals Motion Detection in High Resolution Enhancement

2017 ◽  
Vol 3 (1) ◽  
Author(s):  
Xiaodan Hu ◽  
Avery Ma ◽  
Ahmed Gawish ◽  
Mark Lamm ◽  
Paul Fieguth
Keyword(s):  
High Resolution ◽  
Motion Detection ◽  
Resolution Enhancement ◽  
Motion Artifacts ◽  
Video Content ◽  
Global Motion ◽  
Still Images ◽  
Estimation Algorithms ◽  
Novel Approach ◽  
Dense Flow

Shifted Superposition (SSPOS) is a resolution enhancement methodwhere apparent high-resolution content is displayed using a lowresolutionprojection system with an opto-mechanical shifter. WhileSSPOS-enhanced projectors have been showing promising resultsin still images, they still suffer from motion artifacts in video contents.Motivated by this, we present a novel approach to apparentprojector resolution enhancement for videos via motion-basedblurring module. We propose the use of a motion detection moduleand a blurring module to compensate for both SSPOS-resulted andnatural motion artifacts in the video content. To accomplish this,we combine both local and global motion estimation algorithms togenerate accurate dense flow fields. The detected motion regionsare enhanced using directional Gaussian filters. Preliminary resultsshow that the proposed method can produce accurate densemotion vectors and significantly reduce the artifacts in videos.

Exploring behavioural branding, brand love and brand co-creation

2016 ◽  
Vol 25 (6) ◽  
pp. 516-526 ◽  
Author(s):  
Hans Ruediger Kaufmann ◽  
Sandra Maria Correia Loureiro ◽  
Agapi Manarioti
Keyword(s):  
Conceptual Framework ◽  
Brand Loyalty ◽  
Positive Impact ◽  
Brand Love ◽  
Content Type ◽  
Service Category ◽  
Brand Relationship ◽  
Novel Approach ◽  
Research Stream

Purpose This paper aims to contribute to the understanding of the complex consumer brand relationships by holistically exploring the dynamics between brand love and co-creation, how they are impacted by behavioural branding and their combined impact to brand loyalty. Design/methodology/approach This is a conceptual paper, based on extensive and thorough literature review on the fields of brand love, behavioural branding, brand communities and co-creation, that leads to the formulation of a proposed synthesized framework. Findings The authors propose that consumers experiencing brand love are more willing to engage in an active co-creating behaviour in the context of a brand community, especially when brand representatives vividly communicate the brand values and motivate consumers to engage. This process is moderated by the product/service category and level of customer involvement with it, and it produces a combined positive impact on brand loyalty. Research limitations/implications The proposed conceptual framework needs to be validated through empirical research. However, even at this initial stage, it may have a significant impact, especially as it highlights the role of brand representatives and how they could drastically moderate the relationship between the brand and the consumer. Originality/value This is the first attempt to incorporate the constructs that are significant to the consumer–brand relationship research stream in one conceptual framework. The synthesis of these concepts will contribute to the improved understanding of the consumer–brand relationship, and its dynamics and will equip managers with a novel approach to the central role of behavioural branding.

scholarly journals A Conceptual Framework for Data Cleansing A Novel Approach to Support the Cleansing Process

2013 ◽  
Vol 77 (12) ◽  
pp. 22-26
Author(s):  
Kofi Adu-ManuSarpong ◽  
Joseph George Davis ◽  
Joseph Kobina Panford
Keyword(s):  
Conceptual Framework ◽  
Data Cleansing ◽  
Novel Approach

Disruptions in the IDM Marketplace

2012 ◽  
pp. 132-141
Author(s):  
Huang Jian ◽  
Daniel Tan Dezheng ◽  
Ren Buyi
Keyword(s):  
Conceptual Framework ◽  
Digital Video ◽  
Business Models ◽  
Video On Demand ◽  
Online Video ◽  
Video Content ◽  
Broadband Internet ◽  
Broadcast Television ◽  
On Demand ◽  
Internet Networks

The proliferation of digital video content and the diffusion of broadband Internet networks have resulted in the growth of online video and video on demand as forms of time-shifted television. This chapter examines time-shifted-television as a disruptive influence to traditional broadcast television. The conceptual framework of syndicators, aggregators, and distributors (SAD Framework) is used to analyze the market for time-shifted television. This chapter examines the issues and challenges faced by time-shifted television to cross the chasm and gain adoption in the mainstream market. Finally, using the VISOR framework, we also examine the business models which could enable time-shifted television to cross the chasm.

scholarly journals Compassionate communities and collective memory: a conceptual framework to address the epidemic of loneliness

2019 ◽  
Vol 24 (12) ◽  
pp. 580-584
Author(s):  
Caroline Sime ◽  
Stephen Collins
Keyword(s):  
Conceptual Framework ◽  
Collective Memory ◽  
Social Isolation ◽  
Policy Development ◽  
Social Intervention ◽  
International Policy ◽  
Novel Approach

In recent years, tackling loneliness has become the focus of increased scholarly debate, social intervention and the development of international policy. One response to the ‘epidemic of loneliness' has been the development of the compassionate communities model. The diversity of compassionate communities approaches has led to scholars such as Allan Kellehear (2005; 2017) to highlight a lack of a cohesive underpinning theory to support and drive policy development. In this paper, we propose the use of ‘collective memory’ as a novel approach to linking loneliness, memory and identity in a way that draws out conceptual links between the role compassionate communities play in tackling social isolation and loneliness. We suggest that the service-led approach that seeks to identify and transpose strategies from one community to another is ineffective; instead, we emphasise the need to develop bespoke community-centred models that can be used by community nurses.

scholarly journals Automatic Transformation of a Video Using Multimodal Information for an Engaging Exploration Experience

2020 ◽  
Vol 10 (9) ◽  
pp. 3056
Author(s):  
Fahim A. Salim ◽  
Fasih Haider ◽  
Saturnino Luz ◽  
Owen Conlan
Keyword(s):  
Prototype System ◽  
General View ◽  
Video Content ◽  
Multimedia Document ◽  
Alternative Representation ◽  
Novel Approach ◽  
Multimodal Information ◽  
Continuous Stream ◽  
Conservative View ◽  
Modular Framework

Exploring the content of a video is typically inefficient due to the linear streamed nature of its media and the lack of interactivity. While different approaches have been proposed for enhancing the exploration experience of video content, the general view of video content has remained basically the same, that is, a continuous stream of images. It is our contention that such a conservative view on video limits its potential value as a content source. This paper presents An Alternative Representation of Video via feature Extraction (RAAVE), a novel approach to transform videos from a linear stream of content into an adaptive interactive multimedia document and thereby enhance the exploration potential of video content by providing a more engaging user experience. We explore the idea of viewing video as a diverse multimedia content source, opening new opportunities and applications to explore and consume video content. A modular framework and algorithm for the representation engine and template collection is described. The representation engine based approach is evaluated through development of a prototype system grounded on the design of the proposed approach, allowing users to perform multiple content exploration tasks within a video. The evaluation demonstrated RAAVE’s ability to provide users with a more engaging, efficient and effective experience than a typical multimedia player while performing video exploration tasks.

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