Perceived quality of multimedia educational content: A cognitive style approach

Ghinea, Gheorghita; Chen, Sherry Y.

doi:10.1007/s00530-005-0007-8

Cited by 35 publications

(32 citation statements)

References 26 publications

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“…The lack of studies in this area is mentioned also in [21], authors indicate that previous studies "have failed to explore the influence of user choice, when there is cost associated on it, on perceptual multimedia quality".…”

Section: B Multimedia Adaptationmentioning

confidence: 93%

Educational content delivery: An experimental study assessing student preference for multimedia content when monetary cost is involved

Molnar

Muntean

2010

2010 10th International Conference on Intelligent Systems Design and Applications

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This paper addresses the high cost of transmission over mobile networks, when educational content consists of multimedia files. The proposed solution adapts the multimedia content by changing the bit rate. In order to validate the proposed solution, a preliminary study has been performed. The results of the study show that in average a decrease of 79% in size was obtained for the multimedia content involved in the study. This results in a decrease of the price the learner has to pay for downloading the multimedia content. When the subjects are not provided with any information regarding the quality of the video or the cost of transmission the same number of subjects proffered the original version as the ones who prefer the lower quality version. In the case when the size of the multimedia clips, and the cost of delivery over mobile networks are provided, the number of subjects who preferred the adapted versions increased to 95.44%.

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Section: B Multimedia Adaptationmentioning

confidence: 93%

Educational content delivery: An experimental study assessing student preference for multimedia content when monetary cost is involved

Molnar

Muntean

2010

2010 10th International Conference on Intelligent Systems Design and Applications

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“…For instance, a good quality color picture, bigger in size, is more informative than a low quality, black and white image, smaller in size. Measuring the quality of the perception automatically is a very challenging operation [25][26][27]. Therefore, we assume from now on that the quantity (size) of transmitted information reflects the quality of the semantic content that needs to be maximized.…”

Section: Quality Of Service For Remote Experimentationmentioning

confidence: 99%

End-to-end adaptation scheme for ubiquitous remote experimentation

Salzmann

Gillet

Müllhaupt

2007

Pers Ubiquit Comput

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Remote experimentation is an effective e-learning paradigm for supporting hands-on education using laboratory equipment at distance. The current trend is to enable remote experimentation in mobile and ubiquitous learning. In such a context, the remote experimentation software should enable effective telemonitoring and teleoperation, no matter the kind of device used to access the equipment. It should also be sufficiently lenient so as to handle the rapidly evolving wireless and mobile communication environment. While the current Internet bandwidth allows remote experimentation to work flawlessly on fixed connections such as LANs, mobile users suffer from both the versatile nature of wireless communications and the limitation of the mobile devices. These conditions impose that the remote experimentation software should integrate adaptation features. For effective ubiquitous remote experimentation, it should ideally be guaranteed that the information representing the state of the remote equipment is rendered (to the end user) at the same pace at which it has been acquired, yet possibly at the cost of a somewhat minimal time delay between the acquisition and rendering phases. In this respect, an end-to-end adaptation scheme is proposed that explicitly handles the inherent variability of the connection and the versatility of the mobile devices considered in ubiquitous remote experimentation. Instead of relying on a stochastic approach, the proposed adaptation scheme relies on a deterministic mass-balance equivalence model. The effectiveness of the proposed adaptation scheme is demonstrated in critical conditions corresponding to remote experimentation carried out using a PDA over a Bluetooth link.

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“…Sometimes, the audio transitions of segments in the summaries generated at shot level might be disrupting. So, to control audio of the summary, users can prefer to listen to either the original audio of summary or a music track from the corresponding movie [45]. Segments that are selected for the summary are concatenated and shown to the user in the video panel.…”

Section: User Interfacementioning

confidence: 99%

What do you wish to see? A summarization system for movies based on user preferences

Kannan

Ghinea

Swaminathan³

2015

Information Processing & Management

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Abstract. Video summarization aims at producing a compact version of a full-length video while preserving the significant content of the original video. Movie summarization condenses a full-length movie into a summary that still retains the most significant and interesting content of the original movie. In the past, several movie summarization systems have been proposed to generate a movie summary based on low-level video features such as color, motion, texture, etc. However, a generic summary, which is common to everyone and is produced based only on low-level video features will not satisfy every user. As users' preferences for the summary differ vastly for the same movie, there is a need for a personalized movie summarization system nowadays. To address this demand, this paper proposes a novel system to generate semantically meaningful video summaries for the same movie, which are tailored to the preferences and interests of a user. For a given movie, shots and scenes are automatically detected and their high-level features are semi-automatically annotated. Preferences over high-level movie features are explicitly collected from the user using a query interface. The user preferences are generated by means of a stored-query. Movie summaries are generated at shot level and scene level, where shots or scenes are selected for summary skim based on the similarity measured between shots and scenes, and the user's preferences. The proposed movie summarization system is evaluated subjectively using a sample of 20 subjects with eight movies in the English language. The quality of the generated summaries is assessed by informativeness, enjoyability, relevance, and acceptance metrics and Quality of Perception measures. Further, the usability of the proposed summarization system is subjectively evaluated by conducting a questionnaire survey. The experimental results on the performance of the proposed movie summarization approach show the potential of the proposed system.

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Perceived quality of multimedia educational content: A cognitive style approach

Cited by 35 publications

References 26 publications

Educational content delivery: An experimental study assessing student preference for multimedia content when monetary cost is involved

Educational content delivery: An experimental study assessing student preference for multimedia content when monetary cost is involved

End-to-end adaptation scheme for ubiquitous remote experimentation

What do you wish to see? A summarization system for movies based on user preferences

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