Research Interests:
I am broadly interested in the areas of Augmented and Virtual Reality, Multimedia Signal Processing, Statistical Data Analysis, Machine Learning, Perceptual aspects in Signal Communication, and Psychophysics. I have specific interests in computational modeling and analysis of perceptual factors in multimedia signals (such as video, image, speech and computer generated imagery) which finds applications in AR-VR, signal compression, perceptual quality, visual attention modeling, color and motion perception.
Publications: (Google scholar, for updated list)
Journal Articles:
M. Narwaria, "System Design: Then and Now [Humor]," in IEEE Signal Processing Magazine, To appear, 2023.
M. Narwaria, "Explainable Machine Learning: The importance of a system-centric perspective [Lecture Notes]," in IEEE Signal Processing Magazine, vol. 40, no. 2, pp. 165-172, March 2023.
M. Narwaria, “Does explainable machine learning uncover the black box in vision applications?”, Image and Vision Computing, Volume 118, 2022, 104353, ISSN 0262-8856.
M. Narwaria, “The transition from white box to black box: Challenges and opportunities in signal processing education,” IEEE Signal Processing Magazine, vol. 38, no. 3, pp. 163–173, 2021.
Mythili. K. and M. Narwaria, “Assessment of machine learning-based audiovisual quality predictors: Why uncertainty matters,” ACM Trans. Multimedia Comput. Commun. Appl., vol. 17, no. 2, Apr. 2021.
M. Narwaria and A. Tatu, “Interval-based least squares for uncertainty-aware learning in human-centric multimedia systems,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1–6, 2020.
M. Narwaria, “Toward Better Statistical Validation of Machine Learning-Based Multimedia Quality Estimators”, IEEE Transactions on Broadcasting, vol. 64, no. 2, pp. 446-460, 2018.
M. Narwaria, L. Krasula and P. Le Callet, “Data Analysis in Multimedia Quality Assessment: Revisiting the Statistical Tests”, IEEE Transactions on Multimedia, vol. 20, no. 8, pp. 2063-2072, 2018.
R. L. Das and M. Narwaria, “Lorentzian based adaptive filters for impulsive noise environments”, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 64, no. 6, pp. 1529-1539, June 2017.
L. Krasula, M. Narwaria, K. Fliegel, and P. L. Callet, “Preference of experience in image tone-mapping: Dataset and framework for objective measures comparison”, IEEE Journal of Selected Topics in Signal Processing, vol. 11, no. 1, pp. 64-74, Feb 2017.
D. Mocanu, J. Pokhrel, J. Garella, J. Seppanen, E. Liotou, and M. Narwaria, “No-reference video quality measurement: added value of machine learning”, Journal of Electronic Imaging, vol. 24, no. 6, p. 061208, 2015.
M. Narwaria, M. P. D. Silva, and P. L. Callet, “HDR-VQM: An objective quality measure for high dynamic range video”, Signal Processing: Image Communication, vol. 35, pp. 46-60, 2015.
M. Narwaria, R. Mantiuk, M. P. D. Silva, and P. L. Callet, “HDR-VDP-2.2: A calibrated method for objective quality prediction of high-dynamic range and standard images”, Journal of Electronic Imaging, vol. 24, no. 1, p. 010501, 2015.
Y. Fang, J. Wang, M. Narwaria, P. L. Callet, and W. Lin, “Saliency detection for stereoscopic images," IEEE Transactions on Image Processing, vol. 23, no. 6, pp. 2625-2636, June 2014.
M. Narwaria, M. P. D. Silva, P. L. Callet, and R. Pepion, “Tone mapping based HDR compression: Does it affect visual experience?" Signal Processing: Image Communication, vol. 29, no. 2, pp. 257-273, 2014, (Special Issue on Advances in High Dynamic Range Video Research).
M. Narwaria, M. P. D. Silva, P. L. Callet, and R. Pepion, “Tone mapping-based high-dynamic-range image compression: study of optimization criterion and perceptual quality," Optical Engineering, vol. 52, no. 10, p. 102008, 2013.
M. Narwaria, W. Lin, I. V. McLoughlin, S. Emmanuel, and L. T. Chia, “Fourier transform-based scalable image quality measure," IEEE Transactions on Image Processing, vol. 21, no. 8, pp. 3364-3377, Aug 2012.
M. Narwaria, W. Lin, and A. Liu, “Low-complexity video quality assessment using temporal quality variations," IEEE Transactions on Multimedia, vol. 14, no. 3, pp. 525-535, June 2012.
M. Narwaria, W. Lin, I. V. McLoughlin, S. Emmanuel, and L. T. Chia, “Nonintrusive quality assessment of noise suppressed speech with mel-filtered energies and support vector regression," IEEE Transactions on Audio, Speech, and Language Processing, vol. 20, no. 4, pp. 1217-1232, May 2012.
A. Liu, W. Lin, and M. Narwaria, “Image quality assessment based on gradient similarity," IEEE Transactions on Image Processing, vol. 21, no. 4, pp. 1500-1512, April 2012.
M. Narwaria and W. Lin, “SVD-based quality metric for image and video using machine learning," IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol. 42, no. 2, pp. 347-364, April 2012.
M. Narwaria, W. Lin, and A. E. Cetin, “Scalable image quality assessment with 2d mel-cepstrum and machine learning approach," Pattern Recognition, vol. 45, no. 1, pp. 299- 313, 2012.
M. Narwaria and W. Lin, “Objective image quality assessment based on support vector regression," IEEE Transactions on Neural Networks, vol. 21, no. 3, pp. 515-519, March 2010.
A. Mishra, A. Jain, M. Narwaria, and C. Agarwal, “An Experimental Study into Objective Quality Assessment of Watermarked Images”, International Journal of Image Processing, vol. 5, no. 2, pp. 199-219, 2011.
Conference Articles:
Basant Pandagre and Manish Narwaria, “Upsampling of Personalized HRTF for Spatial Audio Rendering: Why Deep Learning is Problematic?”, To Appear in Proc. of CODS-COMAD 2023, IIT Bombay, 4-7 Jan. 2023. (Competitive Student Travel Grant also awarded to this paper)
Basant Pandagre and Manish Narwaria, “Personalized Spatial Audio Rendering for Augmented and Virtual Reality Applications”, Paper Presentation under the theme of “Experiential interface” at the INAE SERB Youth Conclave held at IIT Jodhpur, 15th -18th September 2022. (No Proceedings Published for this event)
R. Nalla, R. Pinge, M. Narwaria and B. Chaudhury, “Priority Based Functional Group Identification of Organic Molecules using Machine Learning," to appear, Proceedings of the ACM India Joint International Conference on Data Science and Management of Data CoDS-COMAD 18, Goa, India, 2018. (Student authors awarded a Travel Grant)
R. Gupta and M. Narwaria, “DA-IICT at MediaEval 2017: Objective Prediction of Media Interestingness", Proceedings of MediaEval 2017, Dublin, Ireland, 2017.
M. Narwaria, M. P. D. Silva, and P. L. Callet, “Study of high dynamic range video quality assessment," Proc. SPIE, Applications of Digital Image Processing XXXVIII, vol. 9599, p. 95990V, 2015.
L. Krasula, M. Narwaria, K. Fliegel, and P. L. Callet, “Rendering of HDR content on LDR displays: An objective approach," Proc. SPIE, Applications of Digital Image Processing XXXVIII, vol. 9599, p. 95990X, 2015.
L. Krasula, M. Narwaria, K. Fliegel, and P. L. Callet, “Influence of HDR reference on observers preference in tone-mapped images evaluation," 2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX), pp. 1-6, May 2015.
M. Narwaria, C. Mantel, M. P. D. Silva, P. L. Callet, and S. Forchhammer, “An objective method for high dynamic range source content selection," Sixth International Workshop on Quality of Multimedia Experience (QoMEX), pp. 13-18, Sept 2014.
M. Narwaria, M. P. D. Silva, P. L. Callet, and R. Pepion, “Single exposure vs tone mapped high dynamic range images: A study based on quality of experience," 22nd European Signal Processing Conference (EUSIPCO), pp. 2140-2144, Sept 2014.
A. Hines, P. Kendrick, A. Barri, M. Narwaria, and J. A. Redi, “Robustness and prediction accuracy of machine learning for objective visual quality assessment," 2014 22nd European Signal Processing Conference (EUSIPCO), pp. 2130-2134, Sept 2014.
L. Krasula, M. Narwaria, and P. L. Callet, “An automated approach for tone mapping operator parameter adjustment in security applications," Proc. SPIE,Optics, Photonics, and Digital Technologies for Multimedia Applications III, vol. 9138, p. 913803, 2014.
J.Wang, Y. Fang, M. Narwaria, W. Lin, and P. L. Callet, “Stereoscopic image retargeting based on 3d saliency detection," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 669-673, May 2014.
M. Narwaria, M. P. D. Silva, P. L. Callet, and R. Pepion, “On improving the pooling in HDR-VDP-2 towards better HDR perceptual quality assessment," Proc. SPIE, Human Vision and Electronic Imaging XIX, vol. 9014, p. 90140N, 2014.
M. Narwaria, M. P. D. Silva, P. Callet and R. Pepion, “Impact of Tone Mapping In High Dynamic Range Image Compression, in Proc. Eighth International Workshop on Video Processing and Quality Metrics for Consumer Electronics (VPQM), 2014.
M. Narwaria, M. P. D. Silva, P. L. Callet, and R. Pepion, “Adaptive contrast adjustment for postprocessing of tone mapped high dynamic range images," IEEE International Symposium on Circuits and Systems (ISCAS2013), pp. 1103-1106, May 2013.
M. Narwaria, M. P. D. Silva, P. L. Callet, and R. Pepion, “Effect of tone mapping operators on visual attention deployment," Proc. SPIE, Applications of Digital Image Processing XXXV, vol. 8499, p. 84990G, 2012.
M. Narwaria and W. Lin, “Machine learning based modeling of spatial and temporal factors for video quality assessment," 2011 18th IEEE International Conference on Image Processing, pp. 2513-2516, Sept 2011. (Best student paper award nomination)
M. Narwaria and W. Lin, “Video quality assessment using temporal quality variations and machine learning," 2011 IEEE International Conference on Multimedia and Expo, pp. 1-6, July 2011. (Designated as Top 15% paper out of 744 submissions)
W. Lin and M. Narwaria, “Perceptual image quality assessment: recent progress and trends," in Proc. SPIE, Visual Communications and Image Processing, 774403, 2010.
M. Narwaria and W. Lin, “Objective Image Quality Assessment with Singular Value Decomposition, in Proc. Eighth International Workshop on Video Processing and Quality Metrics for Consumer Electronics (VPQM), 2010.
M. Narwaria, W. Lin, I. McLoughlin, S. Emmanuel, and C. Tien, “Non-intrusive speech quality assessment with support vector regression," in Advances in Multimedia Modeling (S. Boll, Q. Tian, L. Zhang, Z. Zhang, and Y.-P. Chen, eds.), vol. 5916 of Lecture Notes in Computer Science, pp. 325-335, Springer Berlin Heidelberg, 2010.
M. Narwaria and W. Lin, “Scalable image quality assessment based on structural vectors," 2009 IEEE International Workshop on Multimedia Signal Processing, pp. 1-6, Oct 2009.