Recent Submissions

  • Time-Scale Modification Using Fuzzy Epoch-Synchronous Overlap-Add (FESOLA) 

    Roberts, Timothy; Paliwal, Kuldip K (2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019)
    A modification to the Epoch-Synchronous Overlap-Add (ESOLA) Time-Scale Modification (TSM) algorithm is proposed in this paper. The proposed method, Fuzzy Epoch-Synchronous Overlap-Add, improves on the previous ESOLA method ...
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  • Impact of region-of-interest video coding on perceived quality in mobile video 

    Himawan, I; Song, W; Tjondronegoro, D (2012 IEEE International Conference on Multimedia and Expo, 2012)
    Effective streaming of video can be achieved by providing more bits to the most important region in the frame at the cost of reduced bits in the less important regions. This strategy can be beneficial for delivering high ...
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  • Discovering the best feature extraction and selection algorithms for spontaneous facial expression recognition 

    Zhang, L; Tjondronegoro, D; Chandran, V (2012 IEEE International Conference on Multimedia and Expo, 2012)
    Feature extraction and selection are critical processes in developing facial expression recognition (FER) systems. While many algorithms have been proposed for these processes, direct comparison between texture, geometry ...
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  • On the Application of the Probabilistic Linear Discriminant Analysis to Face Recognition across Expression 

    Wibowo, Moh Edi; Tjondronegoro, Dian; Zhang, Ligang (2012 IEEE International Conference on Multimedia and Expo Workshops, 2012)
    Facial expression is one of the main issues of face recognition in uncontrolled environments. In this paper, we apply the probabilistic linear discriminant analysis (PLDA) method to recognize faces across expressions. ...
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  • Probabilistic Matching of Image Sets for Video-Based Face Recognition 

    Wibowo, Moh Edi; Tjondronegoro, Dian; Chandran, Vinod (2012 International Conference on Digital Image Computing Techniques and Applications (DICTA), 2012)
    We address the problem of face recognition on video by employing the recently proposed probabilistic linear discrimi-nant analysis (PLDA). The PLDA has been shown to be robust against pose and expression in image-based ...
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  • Quality based frame selection for face clustering in news video 

    Anantharajah, K; Denman, S; Tjondronegoro, D; Sridharan, S; Fookes, C; Guo, X (2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2013)
    Clustering identities in a broadcast video is a useful task to aid in video annotation and retrieval. Quality based frame selection is a crucial task in video face clustering, to both improve the clustering performance and ...
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  • Automatic Region-of-Interest Detection and Prioritisation for Visually Optimised Coding of Low Bit Rate Videos 

    Himawan, Ivan; Song, Wei; Tjondronegoro, Dian (2013 IEEE Workshop on Applications of Computer Vision (WACV), 2013)
    The increasing popularity of video consumption from mobile devices requires an effective video coding strategy. To overcome diverse communication networks, video services often need to maintain sustainable quality when the ...
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  • Gradual training of cascaded shape regression for facial landmark localization and pose estimation 

    Wibowo, ME; Tjondronegoro, D (2013 IEEE International Conference on Multimedia and Expo (ICME), 2013)
    Facial landmarks play an important role in face recognition. They serve different steps of the recognition such as pose estimation, face alignment, and local feature extraction. Recently, cascaded shape regression has been ...
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  • Driven to drive: Designing gamification for a learner logbook smartphone application 

    Fitz-Walter, Z; Wyeth, P; Tjondronegoro, D; Scott-Parker, B (The First International Conference on Gameful Design, Research, and Applications, 2013)
    Driving can be dangerous, especially for young and inexperienced drivers. To help address the issue of inexperience a gamified logbook application was developed for Learner drivers. The application aims to encourage learners ...
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  • A recommendation for designing mobile pedestrian navigation system in university campuses 

    Wang, TSH; Tjondronegoro, D; Docherty, M; Song, W; Fuglsang, J (The 25th Australian Computer-Human Interaction Conference: Augmentation, 2013)
    University campuses have thousands of new students, staff and visitors every year. For those who are unfamiliar with the campus environment, an effective pedestrian navigation system is essential to orientate and guide ...
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  • A pilot study on affective classification of facial images for emerging news topics 

    Zhang, L; Han Lau, AC; Tjondronegoro, D; Chandran, V (2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP), 2014)
    The proliferation of news reports published in online websites and news information sharing among social media users necessitates effective techniques for analysing the image, text and video data related to news topics. ...
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  • Exploring the effect of achievements on students attending university orientation 

    Fitz-Walter, Z; Wyeth, P; Tjondronegoro, D; Johnson, D (The first ACM SIGCHI annual symposium on Computer-human interaction in play (CHI PLAY '14), 2014)
    University orientation is a key event for new students that aids in the transition from a school to a university environment. A smartphone orientation application was built to aid students attending the event. Achievements ...
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  • Centroid Training to Achieve Effective Text Classification 

    Zhang, Libiao; Li, Yuefeng; Xu, Yue; Tjondronegoro, Dian; Sun, Chao (2014 International Conference on Data Science and Advanced Analytics (DSAA), 2014)
    Traditional text classification technology based on machine learning and data mining techniques has made a big progress. However, it is still a big problem on how to draw an exact decision boundary between relevant and ...
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  • Local Inter-Session Variability Modelling for Object Classification 

    Anantharajah, Kaneswaran; Ge, ZongYuan; McCool, Chris; Denman, Simon; Fookes, Clinton; Corke, Peter; Tjondronegoro, Dian; Sridharan, Sridha (IEEE Winter Conference on Applications of Computer Vision (WACV), 2014)
    Object classification is plagued by the issue of session variation. Session variation describes any variation that makes one instance of an object look different to another, for instance due to pose or illumination variation. ...
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  • Adaptive bilateral filtering using saliency map for deblocking low bit rate videos 

    Himawan, I; Zele, AJ; Tjondronegoro, D (2014 IEEE International Conference on Multimedia and Expo (ICME), 2014)
    This paper proposes a novel approach to video deblocking which performs perceptually adaptive bilateral filtering by considering color, intensity, and motion features in a holistic manner. The method is based on bilateral ...
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  • Robust Automatic Face Clustering in News Video 

    Anantharajah, K; Denman, S; Tjondronegoro, D; Sridharan, S; Fookes, C (2015 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015, 2015)
    Clustering identities in a video is a useful task to aid in video search, annotation and retrieval, and cast identification. However, reliably clustering faces across multiple videos is challenging task due to variations ...
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  • Using Viewer's Facial Expression and Heart Rate for Sports Video Highlights Detection 

    Chakraborty, Prithwi Raj; Tjondronegoro, Dian; Zhang, Ligang; Chandran, Vinod (5th ACM International Conference on Multimedia Retrieval (ICMR), 2015)
    Viewer interest, evoked by video content, can potentially identify the highlights of the video. This paper explores the use of facial expressions (FE) and heart rate (HR) of viewers captured using camera and non-strapped ...
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  • Cognitive no-reference video quality assessment for mobile streaming services 

    Vega, MT; Giordano, E; Mocanu, DC; Tjondronegoro, D; Liotta, A (2015 7th International Workshop on Quality of Multimedia Experience (QoMEX 2015), 2015)
    The evaluation of mobile streaming services, particularly in terms of delivered Quality of Experience (QoE), entails the use of automated methods (which excludes subjective QoE) that can be executed in real-time (i.e. ...
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  • Channel Selection in the Short-time Modulation Domain for Distant Speech Recognition 

    Himawan, Ivan; Motlicek, Petr; Sridharan, Sridha; Dean, David; Tjondronegoro, Dian (16th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2015), 2015)
    Automatic speech recognition from multiple distant microphones poses significant challenges because of noise and reverberations. The quality of speech acquisition may vary between microphones because of movements of speakers ...
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  • User profile ontology to support personalization for e-coaching systems 

    Pratiwi, PS; Xu, Y; Li, Y; Trost, SG; Clanchy, KM; Tjondronegoro, D (27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018)
    In recent years, e-coaching systems have played an increasingly significant role in promoting a healthy lifestyle and positive behavior change. Research efforts have grown to provide more useful and effective e-coaching ...
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