Academic literature on the topic 'Frame Processing'
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Journal articles on the topic "Frame Processing"
Rahimi, A., Z. Samadzadeh, and B. Daraby. "Frame-related operators for woven frames." International Journal of Wavelets, Multiresolution and Information Processing 17, no. 03 (May 2019): 1950010. http://dx.doi.org/10.1142/s0219691319500103.
Full textvon Sikorski, Christian, and Thomas Schierl. "Effects of News Frames on Recipients’ Information Processing in Disability Sports Communications." Journal of Media Psychology 24, no. 3 (January 2012): 113–23. http://dx.doi.org/10.1027/1864-1105/a000069.
Full textXuezhi Wang, Xuezhi Wang, Yajing Huang Yajing Huang, Weiping Yang Weiping Yang, and Bill Moran Bill Moran. "Target rotation parameter estimation for ISAR imaging via frame processing." Infrared and Laser Engineering 45, no. 3 (2016): 0302001. http://dx.doi.org/10.3788/irla201645.0302001.
Full textFung, Mei Ling, Kai Ming Yu, and Man Wah Yuen. "Evolution Trends of Material Usage and Processing in Spectacle Frame." Materials Science Forum 532-533 (December 2006): 512–15. http://dx.doi.org/10.4028/www.scientific.net/msf.532-533.512.
Full textMlýnek, Jaroslav, Seyed Saeid Rahimian Koloor, Tomáš Martinec, and Michal Petrů. "Fabrication of High-Quality Straight-Line Polymer Composite Frame with Different Radius Parts Using Fiber Winding Process." Polymers 13, no. 4 (February 5, 2021): 497. http://dx.doi.org/10.3390/polym13040497.
Full textBALAZS, PETER, JEAN-PIERRE ANTOINE, and ANNA GRYBOŚ. "WEIGHTED AND CONTROLLED FRAMES: MUTUAL RELATIONSHIP AND FIRST NUMERICAL PROPERTIES." International Journal of Wavelets, Multiresolution and Information Processing 08, no. 01 (January 2010): 109–32. http://dx.doi.org/10.1142/s0219691310003377.
Full textAldelfy, Hussein Ali, Mahmood Hamza Al-Mufraji, and Thamir R. Saeed. "Key frame extraction using hybrid algorithm of dynamic sign language." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 1 (January 1, 2019): 186. http://dx.doi.org/10.11591/ijeecs.v13.i1.pp186-190.
Full textKHOSRAVI, AMIR, and BEHROOZ KHOSRAVI. "FUSION FRAMES AND g-FRAMES IN HILBERT C*-MODULES." International Journal of Wavelets, Multiresolution and Information Processing 06, no. 03 (May 2008): 433–46. http://dx.doi.org/10.1142/s0219691308002458.
Full textYu, Xiaojiang. "Multiscaling frame multiresolution analysis and associated wavelet frames." International Journal of Wavelets, Multiresolution and Information Processing 18, no. 03 (January 9, 2020): 2050009. http://dx.doi.org/10.1142/s0219691320500095.
Full textMashtalir, Sergii, and Olena Mikhnova. "Key Frame Extraction from Video." International Journal of Computer Vision and Image Processing 4, no. 2 (July 2014): 68–79. http://dx.doi.org/10.4018/ijcvip.2014040105.
Full textDissertations / Theses on the topic "Frame Processing"
Saeedi, Mohammed Hashem. "Parallel processing of frame-based networks." Thesis, Sheffield Hallam University, 1993. http://shura.shu.ac.uk/20308/.
Full textPan, Min-Cheng. "Frame to frame integration and recognition for dynamic imagery." Thesis, University of Reading, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286022.
Full textToal, C. J. "Exploration of high performance frame processing architectures." Thesis, Queen's University Belfast, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.431455.
Full textDane, Gökc̦e. "Temporal frame interpolation by motion analysis and processing /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2005. http://wwwlib.umi.com/cr/ucsd/fullcit?p3191984.
Full textPark, Joonam. "A visualization system for nonlinear frame analysis." Thesis, Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/19172.
Full textEngan, Kjersti. "Frame based signal representation and compression." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2000. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-459.
Full textThe demand for efficient communication and data storage is continuously increasing and signal representation and compression are important factors in digital communication and storage systems.
This work deals with Frame based signal representation and compression. The emphasis is on the design of frames suited for efficient representation, or for low bit rate compression, of classes of signals.
Traditional signal decompositions such as transforms, wavelets, and filter banks, generate expansions using an analysis-synthesis setting. In this thesis we concentrate on the synthesis or reconstruction part of the signal expansion, having a system with no explicit analysis stage. We want to investigate the use of an overcomplete set of vectors, a frame or an overcomplete dictionary, for signal representations and allow sparse representations. Effective signal representations are desirable in many applications, where signal compression is one example. Others can be signal analysis for different purposes, reconstruction of signals from a limited observation set, feature extraction in pattern recognition and so forth.
The lack of an explicit analysis stage originates some questions on finding the optimal representation. Finding an optimal sparse representation from an overcomplete set of vectors is NP-complete, and suboptimal vector selection methods are more practical. We have used some existing methods like different variations of the Matching Pursuit (MP) [52] algorithm, and we developed a robust regularized FOCUSS to be able to use FOCUSS (FOCal Underdetermined System Solver [29]) under lossy conditions.
In this work we develop techniques for frame design, the Method of Optimal Directions (MOD), and propose methods by which such frames can successfully be used in frame based signal representation and in compression schemes. A Multi Frame Compression (MFC) scheme is presented and experiments with several signal classes show that the MFC scheme works well at low bit rates using MOD designed frames. Reconstruction experiments provides complimentary evidence of the good properties of the MOD algorithm.
Ghuman, Parminder, Toby Bennett, and Jeff Solomon. "Shrinking the Cost of Telemetry Frame Synchronization." International Foundation for Telemetering, 1995. http://hdl.handle.net/10150/611605.
Full textTo support initiatives for cheaper, faster, better ground telemetry systems, the Data Systems Technology Division (DSTD) at NASA Goddard Space Flight Center is developing a new Very Large Scale Integration (VLSI) Application Specific Integrated Circuit (ASIC) targeted to dramatically lower the cost of telemetry frame synchronization. This single VLSI device, known as the Parallel Integrated Frame Synchronizer (PIFS) chip, integrates most of the functionality contained in high density 9U VME card frame synchronizer subsystems currently in use. In 1987, a first generation 20 Mbps VMEBus frame synchronizer based on 2.0 micron CMOS VLSI technology was developed by Data Systems Technology Division. In 1990, this subsystem architecture was recast using 0.8 micron ECL & GaAs VLSI to achieve 300 Mbps performance. The PIFS chip, based on 0.7 micron CMOS technology, will provide a superset of the current VMEBus subsystem functions at rates up to 500 Mbps at approximately one-tenth current replication costs. Functions performed by this third generation device include true and inverted 64 bit marker correlation with programmable error tolerances, programmable frame length and marker patterns, programmable search-check-lock-flywheel acquisition strategy, slip detection, and CRC error detection. Acquired frames can optionally be annotated with quality trailer and time stamp. A comprehensive set of cumulative accounting registers are provided on-chip for data quality monitoring. Prototypes of the PIFS chip are expected in October 1995. This paper will describe the architecture and implementation of this new low-cost high functionality device.
Ryen, Tom. "Rate-distortion optimal vector selection in frame based compression." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-575.
Full textIn signal compression we distinguish between lossless and lossy compression. In lossless compression, the encoded signal is more bit efficient than the original signal and is exactly the same as the original one when decoded. In lossy compression, the encoded signal represents an approximation of the original signal, but it has less number of bits. In the latter situation, the major issue is to find the best possible rate-distortion (RD) tradeoff. The rate-distortion function (RDF) represents the theoretical lower bound of the distortion between the original and the reconstructed signal, subject to a given total bit rate for the compressed signal. This is with respect to any compression scheme. If the compression scheme is given, we can find its operational RDF (ORDF).
The main contribution of this dissertation is the presentation of a method that finds the operational rate-distortion optimal solution for an overcomplete signal decomposition. The idea of using overcomplete dictionaries, or frames, is to get a sparse representation of the signal. Traditionally, suboptimal algorithms, such as Matching Pursuit (MP), are used for this purpose. Given the frame and the Variable Length Codeword (VLC) table embedded in the entropy coder, the solution of the problem of establishing the best RD trade-off has a very high complexity. The proposed method reduces this complexity significantly by structuring the solution approach such that the dependent quantizer allocation problem reduces into an independent one. In addition, the use of a solution tree further reduces the complexity. It is important to note that this large reduction in complexity is achieved without sacrificing optimality. The optimal rate-distortion solution depends on the frame selection and the VLC table embedded in the entropy coder. Thus, frame design and VLC optimization is part of this work.
Extensive coding experiments are presented, where Gaussian AR(1) processes and various electrocardiogram (ECG) signals are used as input signals. The experiments demonstrate that the new approach outperforms Rate-Distortion Optimized (RDO) Matching Pursuit, previously proposed in [17], in the rate-distortion sense.
Koh, Kwang-Ryul, Sang-Bum Lee, Taek-Joon Yi, and Whan-Woo Kim. "PC-Based Frame Optimizer Using Multiple PCM Files." International Foundation for Telemetering, 2011. http://hdl.handle.net/10150/595769.
Full textMany engineers have tried to detect and correct erroneous data in telemetry communications. The best source selector can be used to combine data from two or more bit synchronizers to reduce frame error rates. An error-correcting code can be used as well. These techniques are absolutely helpful to obtain reliable telemetry data. However, some errors still remain and must be removed. This paper introduces the way to effectively merge multiple PCM files that are saved in different receiving sites, and shows nearly errorless data resulting from merging flight test data using a PC-based frame optimizer, which is a developed program.
Gunturk, Bahadir K. "Multi-frame information fusion for image and video enhancement." Diss., Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04072004-180015/unrestricted/gunturk%5Fbahadir%5Fk%5F200312%5Fphd.pdf.
Full textBooks on the topic "Frame Processing"
Kralingen, Robert W. van. Frame-based conceptual models of statute law. The Hague: Kluwer Law International, 1995.
Find full textCavanagh, James P. Frame relay applications: Business and technology case studies. San Francisco: Morgan Kaufmann Publishers, 1998.
Find full textBernd, Girod, ed. Multi-frame motion-compensated prediction for video transmission. Boston: Kluwer Academic Publishers, 2001.
Find full textLee, Chong M. Process upgrade for the mechanical recovery of cod frame mince and its cryostabilization: Final project report. [Boston, Mass.]: New England Fisheries Development Association, 1989.
Find full textReimer, Ulrich. FRM: Ein Frame-Repräsentationsmodell und seine formale Semantik : zur Integration von Datenbank- und Wissensrepräsentationsansätzen. Berlin: Springer-Verlag, 1989.
Find full textSchuster, Guido M. Rate-distortion based video compression: Optimal video frame compression and object boundary encoding. Boston: Kluwer Academic Publishers, 1997.
Find full textFrame-Theorie in der Lexikographie: Untersuchungen zur theoretischen Fundierung und computergestützten Anwendung kontextueller Rahmenstrukturen für die lexikographische Repräsentation von Substantiven. Tübingen: Niemeyer, 1985.
Find full textCenter, Lewis Research. High resolution, high frame rate video technology: Proceedings of a workshop held at NASA Lewis Research Center, Cleveland, Ohio, May 11-12, 1988. Cleveland, Ohio: Lewis Research Center, 1990.
Find full textSt, Clair Mark. Time frames for the processing of resource consents. [New Zealand]: Ministry for the Environment, 1994.
Find full textLarson, David R., Peter Massopust, Zuhair Nashed, Minh Chuong Nguyen, Manos Papadakis, and Ahmed Zayed, eds. Frames and Operator Theory in Analysis and Signal Processing. Providence, Rhode Island: American Mathematical Society, 2008. http://dx.doi.org/10.1090/conm/451.
Full textBook chapters on the topic "Frame Processing"
Koch, Peter. "frame and Cognity." In Human Cognitive Processing, 139. Amsterdam: John Benjamins Publishing Company, 1999. http://dx.doi.org/10.1075/hcp.4.09koc.
Full textWang, Yingying, Chun Zhang, Qi Peng, and Zhihua Wang. "Learning to Detect Frame Synchronization." In Neural Information Processing, 570–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-42042-9_71.
Full textPascual, Esther, and Sergeiy Sandler. "Fictive interaction and the conversation frame." In Human Cognitive Processing, 3–22. Amsterdam: John Benjamins Publishing Company, 2016. http://dx.doi.org/10.1075/hcp.55.01pas.
Full textSugiyama, Kenji, Mitsuhiro Fujita, Takahiro Yoshida, and Seiichiro Hangai. "Motion Compensated Frame Rate Up-Conversion for Low Frame Rate Video." In Visual Content Processing and Representation, 170–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11738695_23.
Full textBrdar, Mario, and Rita Brdar-Szabó. "Metonymy, metaphor and the “weekend frame of mind”." In Human Cognitive Processing, 233–50. Amsterdam: John Benjamins Publishing Company, 2011. http://dx.doi.org/10.1075/hcp.27.15brd.
Full textToivonen, Tuukka, and Janne Heikkilä. "Reduced Frame Quantization in Video Coding." In Visual Content Processing and Representation, 61–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11738695_9.
Full textNakayama, Masashi, Naoki Shigekawa, Takashi Yokouchi, and Shunsuke Ishimitsu. "Frame-by-Frame Speech Signal Processing and Recognition for FPGA Devices." In Sensors for Everyday Life, 87–102. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47319-2_5.
Full textHorie, Teruki, Akihiro Shikano, Hiromichi Iwase, and Yasuo Matsuyama. "Learning Algorithms and Frame Signatures for Video Similarity Ranking." In Neural Information Processing, 147–57. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26532-2_17.
Full textJouvet, Denis, and Katarina Bartkova. "Acoustical Frame Rate and Pronunciation Variant Statistics." In Statistical Language and Speech Processing, 123–34. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25789-1_12.
Full textBalazs, Peter, Nicki Holighaus, Thibaud Necciari, and Diana Stoeva. "Frame Theory for Signal Processing in Psychoacoustics." In Excursions in Harmonic Analysis, Volume 5, 225–68. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54711-4_10.
Full textConference papers on the topic "Frame Processing"
Holik, Martin, Tomas Horvath, and Vaclav Oujezky. "GPON Frame Data Processing." In 2019 International Workshop on Fiber Optics in Access Networks (FOAN). IEEE, 2019. http://dx.doi.org/10.1109/foan.2019.8933659.
Full textMerchant, John. "Inter-Frame Image Processing." In 1986 Technical Symposium Southeast, edited by Irving R. Abel. SPIE, 1986. http://dx.doi.org/10.1117/12.964201.
Full textAgarwal, Apoorv, Daniel Bauer, and Owen Rambow. "Using Frame Semantics in Natural Language Processing." In Proceedings of Frame Semantics in NLP: A Workshop in Honor of Chuck Fillmore (1929-2014). Stroudsburg, PA, USA: Association for Computational Linguistics, 2014. http://dx.doi.org/10.3115/v1/w14-3008.
Full textHuang, Yu-Jie, and Yinyi Lin. "Motion compensated frame interpolation using skipped frame information." In 2011 IEEE Visual Communications and Image Processing (VCIP). IEEE, 2011. http://dx.doi.org/10.1109/vcip.2011.6115924.
Full textHuang, Ping-Tzan, Wen-Liang Hwang, and Tai-Lang Jong. "Learning Parseval Frames for Sparse Representation with Frame Perspective." In 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE, 2018. http://dx.doi.org/10.1109/icip.2018.8451713.
Full textMixon, Dustin G., Waheed U. Bajwa, and Robert Calderbank. "Frame coherence and sparse signal processing." In 2011 IEEE International Symposium on Information Theory - ISIT. IEEE, 2011. http://dx.doi.org/10.1109/isit.2011.6034214.
Full textPan, F., X. Lin, S. Rahardja, K. P. Lim, Z. G. Li, D. J. Wu, W. Si, and L. J. Jiang. "Variable frame rate encoding via active frame-skipping." In Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/isspa.2003.1224647.
Full textHuang, J., S. Liu, M. H. Hayes, and R. M. Mersereau. "A multi-frame pel-recursive algorithm for varying frame-to-frame displacement estimation." In [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1992. http://dx.doi.org/10.1109/icassp.1992.226206.
Full textLee, Yen-Lin, and Truong Nguyen. "High frame rate Motion Compensated Frame Interpolation in High-Definition video processing." In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/icassp.2010.5495214.
Full textAi-Mei Huang and Truong Nguyen. "Motion vector processing using bidirectional frame difference in motion compensated frame interpolation." In 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks (WOWMOM). IEEE, 2008. http://dx.doi.org/10.1109/wowmom.2008.4594914.
Full textReports on the topic "Frame Processing"
Bates, C. Richards, Melanie Chocholek, Clive Fox, John Howe, and Neil Jones. Scottish Inshore Fisheries Integrated Data System (SIFIDS): Work package (3) final report development of a novel, automated mechanism for the collection of scallop stock data. Edited by Mark James and Hannah Ladd-Jones. Marine Alliance for Science and Technology for Scotland (MASTS), 2019. http://dx.doi.org/10.15664/10023.23449.
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