Relevant bibliographies by topics / Multimedia signal processing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Multimedia signal processing'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Multimedia signal processing"

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Bajić, Ivan V., Marta Mrak, Frédéric Dufaux, Enrico Magli, and Tsuhan Chen. "Multimedia Signal Processing: A history of the Multimedia Signal Processing Technical Committee." IEEE Signal Processing Magazine 40, no. 4 (2023): 72–79. http://dx.doi.org/10.1109/msp.2023.3260989.

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Civanlar, R., and A. Reibman. "Signal processing for networked multimedia." IEEE Signal Processing Magazine 14, no. 4 (1997): 39–41. http://dx.doi.org/10.1109/79.598592.

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Cohen, Fernand S., Athina Petropulu, Georgia Georgiou, and Walid Ibrahim. "Multimedia digital signal processing laboratory." Computer Applications in Engineering Education 8, no. 3-4 (2000): 209–15. http://dx.doi.org/10.1002/1099-0542(2000)8:3/4<209::aid-cae12>3.0.co;2-e.

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Kim, Byung-Gyu, and Dong-San Jun. "Artificial Intelligence for Multimedia Signal Processing." Applied Sciences 12, no. 15 (2022): 7358. http://dx.doi.org/10.3390/app12157358.

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Wang, Xiaodong. "Advanced Signal Processing for Wireless Multimedia Communications." Informing Science: The International Journal of an Emerging Transdiscipline 3 (2000): 023–30. http://dx.doi.org/10.28945/572.

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Yen, G. G. "Editor's remarks - CI-Based multimedia signal processing." IEEE Computational Intelligence Magazine 1, no. 2 (2006): 2. http://dx.doi.org/10.1109/mci.2006.1626487.

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Emre, Yunus, and Chaitali Chakrabarti. "Energy and Quality-Aware Multimedia Signal Processing." IEEE Transactions on Multimedia 15, no. 7 (2013): 1579–93. http://dx.doi.org/10.1109/tmm.2013.2266094.

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Han, Xiuqin. "Acquisition and its Basic Processing Technology of Multimedia Vocal Signal." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 08 (2019): 2058009. http://dx.doi.org/10.1142/s0218001420580094.

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This paper briefly studies the method of collecting audio signals and the method of adding noise to audio signals. It comprehensively applies various basic knowledge of digital signal processing, and then performs spectrum analysis on noise-free frequency signals and spectral analysis of noise-added frequency signals, and filtering processing. Through theoretical derivation, the corresponding conclusions are drawn, and then MATLAB is used as a programming tool to carry out computer implementation to verify the conclusions derived. In the research process, the filter processing was completed by
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Xiong, Hongkai, Wenrui Dai, Zhouchen Lin, et al. "Advances in mathematical theory for multimedia signal processing." Journal of Image and Graphics 25, no. 1 (2020): 1–18. http://dx.doi.org/10.11834/jig.190468.

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Chou, Phil, Francesco De Natale, Enrico Magli, and Eckehard Steinbach. "Trends in Multimedia Signal Processing [In the Spotlight]." IEEE Signal Processing Magazine 28, no. 6 (2011): 197–98. http://dx.doi.org/10.1109/msp.2011.942320.

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Dissertations / Theses on the topic "Multimedia signal processing"

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Athanasiadis, Tasso, and tas atha@bigpond net au. "Signal Processing Techniques for Mobile Multimedia Systems." RMIT University. Electrical and Computer Engineering, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080123.115457.

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Recent trends in wireless communication systems show a significant demand for the delivery of multimedia services and applications over mobile networks - mobile multimedia - like video telephony, multimedia messaging, mobile gaming, interactive and streaming video, etc. However, despite the ongoing development of key communication technologies that support these applications, the communication resources and bandwidth available to wireless/mobile radio systems are often severely limited. It is well known, that these bottlenecks are inherently due to the processing capabilities of mobile transmi
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Guo, Liwei. "Restoration and modeling for multimedia compression /." View abstract or full-text, 2008. http://library.ust.hk/cgi/db/thesis.pl?ECED%202008%20GUOL.

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Bakken, Marianne. "Signal Processing for Communicating Gravity Wave Images from the NTNU Test Satellite." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for elektronikk og telekommunikasjon, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19229.

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The NTNU Test Satellite (NUTS) is planned to have a payload for observation of atmospheric gravity waves. The gravity waves will be observed by means of an infrared camera imaging the perturbations in the OH airglow layer. So far, no suitable camera has been found that complies with the restrictions that follows when building a small satellite. Uncooled InGaAs has however been concluded to be the most suitable detector type in terms of wavelength response and weight.InGaAs sensors are known to have a high dark current when not cooled, and processing must therefore be applied to remove the back
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Houas, Heykel. "Allocation de ressources pour la transmission de données multimedia scalables." Phd thesis, Université de Cergy Pontoise, 2009. http://tel.archives-ouvertes.fr/tel-00767889.

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Cette thèse s'intéresse aux problèmes d'allocation de ressources pour la transmission de données multimédia scalables sous contraintes de qualité de service (QoS) sur les réseaux hétérogènes. Les liaisons filaires et sans fil considérées (DS-CDMA, OFDMA) sont appliquées à des services de transmission d'images et de parole sur des canaux à évanouissements lents ou rapides, avec ou sans multitrajets. La QoS de ces réseaux est exprimée en terme de qualité perçue du point de vue de l'utilisateur (couche Application) et en terme de taux d'erreurs binaires (TEB) par classe du point de vue de la tran
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Oberhofer, Robert. "Pitch adaptive variable bitrate CELP speech coding." Thesis, University of Ulster, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264811.

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DeBardelaben, James Anthony. "An optimization-based approach for cost-effective embedded DSP system design." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/15757.

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Shen, Ju. "Computational Multimedia for Video Self Modeling." UKnowledge, 2014. http://uknowledge.uky.edu/cs_etds/26.

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Video self modeling (VSM) is a behavioral intervention technique in which a learner models a target behavior by watching a video of oneself. This is the idea behind the psychological theory of self-efficacy - you can learn or model to perform certain tasks because you see yourself doing it, which provides the most ideal form of behavior modeling. The effectiveness of VSM has been demonstrated for many different types of disabilities and behavioral problems ranging from stuttering, inappropriate social behaviors, autism, selective mutism to sports training. However, there is an inherent difficu
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Sezer, Osman Gokhan. "Data-driven transform optimization for next generation multimedia applications." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42765.

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The objective of this thesis is to formulate a generic dictionary learning method with the guiding principle that states: Efficient representations lead to efficient estimations. The fundamental idea behind using transforms or dictionaries for signal representation is to exploit the regularity within data samples such that the redundancy of the representation is minimized subject to a level of fidelity. This observation translates to rate-distortion cost in compression literature, where a transform that has the lowest rate-distortion cost provides a more efficient representation than the other
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Narapareddy, Yagna Brahma Sai. "QoE Performance Evaluation by Introducing Video Freeze on Mobile Multimedia." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18995.

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Real time video streaming through mobile Internet is increasing day by day and the video  quality can be affected  very badly by network performance issues. Video freezing and video  jumping are one of the serious issues that affect the user experience badly. Hence service providers are interested to evaluate the performance of quality of experience. We  follow the methods from the International Telecommunications Union–Telecommunication Sector(ITU-T)recommendations. In this thesis, we are studying the effect of freezing on user experience by subjective tests and obtaining the mean opinion sco
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Uzuegbunam, Nkiruka M. A. "SELF-IMAGE MULTIMEDIA TECHNOLOGIES FOR FEEDFORWARD OBSERVATIONAL LEARNING." UKnowledge, 2018. https://uknowledge.uky.edu/ece_etds/124.

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This dissertation investigates the development and use of self-images in augmented reality systems for learning and learning-based activities. This work focuses on self- modeling, a particular form of learning, actively employed in various settings for therapy or teaching. In particular, this work aims to develop novel multimedia systems to support the display and rendering of augmented self-images. It aims to use interactivity (via games) as a means of obtaining imagery for use in creating augmented self-images. Two multimedia systems are developed, discussed and analyzed. The proposed system
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Books on the topic "Multimedia signal processing"

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Kim, Tai-hoon, Sankar K. Pal, William I. Grosky, Niki Pissinou, Timothy K. Shih, and Dominik Ślęzak, eds. Signal Processing and Multimedia. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17641-8.

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Wang, Fu Lee, Jingsheng Lei, Rynson W. H. Lau, and Jingxin Zhang, eds. Multimedia and Signal Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35286-7.

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Jim, Byrnes, and NATO Advanced Study Institute on Signal Processing for Multimedia (1998 : Lucca, Italy), eds. Signal processing for multimedia. IOS Press, 1999.

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Wysocki, Tadeusz A., Bahram Honary, and Beata J. Wysocki, eds. Signal Processing for Telecommunications and Multimedia. Springer US, 2005. http://dx.doi.org/10.1007/b99846.

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1959-, Parhi Keshab K., and Nishitani Takao, eds. Digital signal processing for multimedia systems. Dekker, 1999.

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Damiani, Ernesto, Kokou Yétongnon, Peter Schelkens, Albert Dipanda, Louis Legrand, and Richard Chbeir, eds. Signal Processing for Image Enhancement and Multimedia Processing. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-72500-0.

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Karrenberg, Ulrich. An Interactive Multimedia Introduction to Signal Processing. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04949-5.

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Parah, Shabir A., Nasir N. Hurrah, and Ekram Khan, eds. Intelligent Multimedia Signal Processing for Smart Ecosystems. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34873-0.

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McClellan, James H. DSP first: A multimedia approach. Prentice Hall, 1997.

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Grgic, Mislav, Kresimir Delac, and Mohammed Ghanbari, eds. Recent Advances in Multimedia Signal Processing and Communications. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02900-4.

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Book chapters on the topic "Multimedia signal processing"

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Mouchtaris, A., J. S. Lim, T. Holman, and C. Kyriakakis. "Signal Processing Considerations for Immersive Audio Rendering." In Multimedia Communications. Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0859-7_5.

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Chen, Jian Mei. "The Improved Partition Entropy Coefficient." In Multimedia and Signal Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35286-7_1.

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Tan, Sieow Yeek, and Dickson Lukose. "Cognitive Semantic Model for Visual Object Recognition in Image." In Multimedia and Signal Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35286-7_10.

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Zhao, Qian, Jialin Cao, and Yueli Hu. "Image Retrieval Based on Color-Spatial Distributing Feature." In Multimedia and Signal Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35286-7_11.

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Moydin, Kamil, and Askar Hamdulla. "Wavelet Domain Distributed Information Entropy and Genetic Clustering Algorithm for Image Retrieval." In Multimedia and Signal Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35286-7_12.

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Lv, Jin-jian, Gang Deng, and Bo Xu. "A New Automated Image Registration Method Based on Corners." In Multimedia and Signal Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35286-7_13.

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Li, Yuanjiang, and Yuehua Li. "Symmetric Normal Inverse Gaussian and Structural Similarity Based Image Denoising." In Multimedia and Signal Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35286-7_14.

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Zhang, Yi, Xin Jiang, Zhen-Dong Wang, and Jiang Yue. "An Improved Edge Detection Method Based on Composite Morphology." In Multimedia and Signal Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35286-7_15.

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Wang, Shi, Long Ye, Wei Zhong, and Qin Zhang. "Image Compression Based on Hierarchical Clustering Vector Quantization." In Multimedia and Signal Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35286-7_16.

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Ye, Xueyi, Wentao He, Huahua Chen, and Wangbing Li. "The Characteristics of Region Gradient for Image Inpainting." In Multimedia and Signal Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35286-7_17.

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Conference papers on the topic "Multimedia signal processing"

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Lin, Yu-Hsun. "3D multimedia signal processing." In the 20th ACM international conference. ACM Press, 2012. http://dx.doi.org/10.1145/2393347.2396515.

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"Digital signal processing and multimedia." In 2015 12th International Conference on Telecommunication in Modern Satellite, Cable and Broadcasting Services (TELSIKS). IEEE, 2015. http://dx.doi.org/10.1109/telsks.2015.7357734.

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"Session 22 overview multimedia signal processing." In 2002 IEEE International Solid-State Circuits Conference. Digest of Technical Papers. IEEE, 2002. http://dx.doi.org/10.1109/isscc.2002.993083.

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Richard, Gaël. "Tutorial on multimedia music signal processing." In the 19th ACM international conference. ACM Press, 2011. http://dx.doi.org/10.1145/2072298.2072402.

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De Figueiredo, R. J. "Intelligent signal processing for multimedia communications." In Seventh IEEE International Symposium on Multimedia. IEEE, 2005. http://dx.doi.org/10.1109/ism.2005.70.

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Cemgil, A. Taylan. "Bayesian methods for multimedia signal processing." In the 15th international conference. ACM Press, 2007. http://dx.doi.org/10.1145/1291233.1291235.

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Huang, X., and G. A. Woolsey. "Multimedia materials for teaching signal processing." In IEEE International Conference on Multimedia and Expo, 2001. ICME 2001. IEEE, 2001. http://dx.doi.org/10.1109/icme.2001.1237885.

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"Proceedings of First Signal Processing Society Workshop on Multimedia Signal Processing." In Proceedings of First Signal Processing Society Workshop on Multimedia Signal Processing. IEEE, 1997. http://dx.doi.org/10.1109/mmsp.1997.602603.

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Timmerer, Christian. "Session details: Signal processing." In MMSyS '12: Multimedia Systems Conference 2012. ACM, 2012. http://dx.doi.org/10.1145/3248063.

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Luican, Ilie I., Hongwei Zhu, and Florin Balasa. "Signal-to-Memory Mapping Analysis for Multimedia Signal Processing." In 2007 Asia and South Pacific Design Automation Conference. IEEE, 2007. http://dx.doi.org/10.1109/aspdac.2007.358033.

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