Literatura académica sobre el tema "IMAGE RETRIEVAL TECHNIQUES"
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Artículos de revistas sobre el tema "IMAGE RETRIEVAL TECHNIQUES"
Gupta, Rajeev y Virender Singh. "COMPARATIVE ANALYSIS OF IMAGE RETRIEVAL TECHNIQUES IN CYBERSPACE". International Journal of Students' Research in Technology & Management 8, n.º 1 (26 de enero de 2020): 01–10. http://dx.doi.org/10.18510/ijsrtm.2020.811.
Texto completoPremkumar, M. y R. Sowmya. "Interactive Content Based Image Retrieval using Multiuser Feedback". JOIV : International Journal on Informatics Visualization 1, n.º 4 (1 de diciembre de 2017): 165. http://dx.doi.org/10.30630/joiv.1.4.57.
Texto completoMeharban, M. S. y Dr S. Priya. "A Review on Image Retrieval Techniques". Bonfring International Journal of Advances in Image Processing 6, n.º 2 (30 de abril de 2016): 07–10. http://dx.doi.org/10.9756/bijaip.8136.
Texto completoDureja, Aman y Payal Pahwa. "Image retrieval techniques: a survey". International Journal of Engineering & Technology 7, n.º 1.2 (28 de diciembre de 2017): 215. http://dx.doi.org/10.14419/ijet.v7i1.2.9231.
Texto completoZakariya, S. M. y Imtiaz A. Khan. "Analysis of combined approaches of CBIR systems by clustering at varying precision levels". International Journal of Electrical and Computer Engineering (IJECE) 11, n.º 6 (1 de diciembre de 2021): 5009. http://dx.doi.org/10.11591/ijece.v11i6.pp5009-5018.
Texto completoR, Dhaya. "Analysis of Adaptive Image Retrieval by Transition Kalman Filter Approach based on Intensity Parameter". Journal of Innovative Image Processing 3, n.º 1 (9 de marzo de 2021): 7–20. http://dx.doi.org/10.36548/jiip.2021.1.002.
Texto completoVarma, Ankitha y Dr Kamalpreet Kaur. "Survey on content based image retrieval". International Journal of Engineering & Technology 7, n.º 4.5 (22 de septiembre de 2018): 471. http://dx.doi.org/10.14419/ijet.v7i4.5.21136.
Texto completoMamatha, Ch, Dr V. Anandam, Priyadarshini Chatterjee y Hepshiba Vijaya Kumari. "Attribute Based Image Retrieval and Segmentation using On-tological Approaches". International Journal of Engineering & Technology 7, n.º 4.6 (25 de septiembre de 2018): 103. http://dx.doi.org/10.14419/ijet.v7i4.6.20440.
Texto completoV, Vinitha y Velantina V. "Content Based Image Retrieval from Auto Encoders Using Keras and Tensor Flow Python API a Deep Learning Technique". Volume 5 - 2020, Issue 9 - September 5, n.º 9 (3 de octubre de 2020): 869–71. http://dx.doi.org/10.38124/ijisrt20sep116.
Texto completoMd Jan, Mardhiyah, Nasharuddin Zainal y Shahrizan Jamaludin. "Region of interest-based image retrieval techniques: a review". IAES International Journal of Artificial Intelligence (IJ-AI) 9, n.º 3 (1 de septiembre de 2020): 520. http://dx.doi.org/10.11591/ijai.v9.i3.pp520-528.
Texto completoTesis sobre el tema "IMAGE RETRIEVAL TECHNIQUES"
Shaffrey, Cian William. "Multiscale techniques for image segmentation, classification and retrieval". Thesis, University of Cambridge, 2003. https://www.repository.cam.ac.uk/handle/1810/272033.
Texto completoYang, Cheng 1974. "Image database retrieval with multiple-instance learning techniques". Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/50505.
Texto completoIncludes bibliographical references (p. 81-82).
In this thesis, we develop and test an approach to retrieving images from an image database based on content similarity. First, each picture is divided into many overlapping regions. For each region, the sub-picture is filtered and converted into a feature vector. In this way, each picture is represented by a number of different feature vectors. The user selects positive and negative image examples to train the system. During the training, a multiple-instance learning method known as the Diverse Density algorithm is employed to determine which feature vector in each image best represents the user's concept, and which dimensions of the feature vectors are important. The system tries to retrieve images with similar feature vectors from the remainder of the database. A variation of the weighted correlation statistic is used to determine image similarity. The approach is tested on a large database of natural scenes as well as single- and multiple-object images. Comparisons are made against a previous approach, and the effects of tuning various training parameters, as well as that of adjusting algorithmic details, are also studied.
by Cheng Yang.
S.M.
Carswell, James. "Using Raster Sketches for Digital Image Retrieval". Fogler Library, University of Maine, 2000. http://www.library.umaine.edu/theses/pdf/CarswellJD2000.pdf.
Texto completoZhang, Dengsheng 1963. "Image retrieval based on shape". Monash University, School of Computing and Information Technology, 2002. http://arrow.monash.edu.au/hdl/1959.1/8688.
Texto completoLim, Suryani. "Feature extraction, browsing and retrieval of images". Monash University, School of Computing and Information Technology, 2005. http://arrow.monash.edu.au/hdl/1959.1/9677.
Texto completoGoncalves, Pinheiro Antonio Manuel. "Shape approximation and retrieval using scale-space techniques". Thesis, University of Essex, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391661.
Texto completoLi, Yuanxi. "Semantic image similarity based on deep knowledge for effective image retrieval". HKBU Institutional Repository, 2014. https://repository.hkbu.edu.hk/etd_oa/99.
Texto completoWong, Chun Fan. "Automatic semantic image annotation and retrieval". HKBU Institutional Repository, 2010. http://repository.hkbu.edu.hk/etd_ra/1188.
Texto completoLing, Haibin. "Techniques for image retrieval deformation insensitivity and automatic thumbnail cropping /". College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/3859.
Texto completoThesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Liu, Danzhou. "EFFICIENT TECHNIQUES FOR RELEVANCE FEEDBACK PROCESSING IN CONTENT-BASED IMAGE RETRIEVAL". Doctoral diss., University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2991.
Texto completoPh.D.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Science PhD
Libros sobre el tema "IMAGE RETRIEVAL TECHNIQUES"
Eakins, J. P. Techniques for image retrieval. London: Library Information Technology Centre, 1998.
Buscar texto completoNewell, J. C. W. Archival retrieval: Techniques for image enhancement. London: British Broadcasting Corporation Research and Development Department, 1995.
Buscar texto completoEnrico, Vicario, ed. Image description and retrieval. New York: Plenum Press, 1998.
Buscar texto completoIntegrated region-based image retrieval. Boston: Kluwer Academic Publishers, 2001.
Buscar texto completoIntelligent image databases: Towards advanced image retrieval. Boston: Kluwer Academic Publishers, 1998.
Buscar texto completoGong, Yihong. Intelligent Image Databases: Towards Advanced Image Retrieval. Boston, MA: Springer US, 1998.
Buscar texto completo1974-, Li Jia y Wang James Z. 1972-, eds. Machine learning and statistical modeling approaches to image retrieval. Boston: Kluwer Academic Publishers, 2004.
Buscar texto completoVittorio, Castelli y Bergman Lawrence D. 1953-, eds. Image databases: Search and retrieval of digital imagery. New York: Wiley, 2002.
Buscar texto completoA, Hanjalic, ed. Image and video databases: Restoration, watermarking, and retrieval. Amsterdam: Elsevier Science B. V., 2000.
Buscar texto completoVisual information retrieval. San Francisco, Calif: Morgan Kaufmann Publishers, 1999.
Buscar texto completoCapítulos de libros sobre el tema "IMAGE RETRIEVAL TECHNIQUES"
Safar, Maytham H. y Cyrus Shahabi. "Image Description Techniques". En Shape Analysis and Retrieval of Multimedia Objects, 3–7. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0349-1_1.
Texto completoTyagi, Vipin. "Content-Based Image Retrieval Techniques: A Review". En Content-Based Image Retrieval, 29–48. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6759-4_2.
Texto completoChakraborty, Sayan, Prasenjit Kumar Patra, Nilanjan Dey y Amira S. Ashour. "Content-Based Image Retrieval Techniques". En Mining Multimedia Documents, 117–32. Boca Raton : CRC Press, [2017]: Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/b21638-9.
Texto completoChakraborty, Sayan, Prasenjit Kumar Patra, Nilanjan Dey y Amira S. Ashour. "Content-Based Image Retrieval Techniques". En Mining Multimedia Documents, 117–32. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2017. http://dx.doi.org/10.1201/9781315399744-10.
Texto completoSafar, Maytham H. y Cyrus Shahabi. "Alternative Image Description Techniques". En Shape Analysis and Retrieval of Multimedia Objects, 19–27. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0349-1_4.
Texto completoRui, Yong y Thomas S. Huang. "Relevance Feedback Techniques in Image Retrieval". En Principles of Visual Information Retrieval, 219–58. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-3702-3_9.
Texto completoPu, Pearl y Zoran Pečenović. "Dynamic Overview Techniques for Image Retrieval". En Eurographics, 43–52. Vienna: Springer Vienna, 2000. http://dx.doi.org/10.1007/978-3-7091-6783-0_5.
Texto completoStehling, Renato O., Mario A. Nascimento y Alexandre X. Falcão. "Techniques for Color-Based Image Retrieval". En Multimedia Mining, 61–82. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-1141-0_5.
Texto completoZhang, Yu-Jin. "Content-Based Visual Information Retrieval". En A Selection of Image Understanding Techniques, 243–82. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003362388-7.
Texto completoNgo, C. W., T. C. Pong y R. T. Chin. "Exploiting image indexing techniques in DCT domain". En Multimedia Information Analysis and Retrieval, 195–206. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0016499.
Texto completoActas de conferencias sobre el tema "IMAGE RETRIEVAL TECHNIQUES"
Bird, C. L. y P. J. Elliott. "Search Techniques Within a Multiple Database Environment". En Challenge of Image Retrieval. BCS Learning & Development, 1998. http://dx.doi.org/10.14236/ewic/cir1998.3.
Texto completoD'britto, Mamta Peter y Abhijit R. Joshi. "Analysis of image retrieval techniques". En 2017 International Conference on Computer Communication and Informatics (ICCCI). IEEE, 2017. http://dx.doi.org/10.1109/iccci.2017.8117740.
Texto completoNing, Xiaogang, Deren Li y Weizhi Ye. "Content-based remote sensing image retrieval". En MIPPR 2005 Image Analysis Techniques, editado por Deren Li y Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.654549.
Texto completoKondekar, Vipul, Vijaykumar Kolkure, Girish Sodal y Jagdish Mudegaonkar. "Image retrieval techniques based on image features". En ICWET '10: International Conference and Workshop on Emerging Trends in Technology. New York, NY, USA: ACM, 2010. http://dx.doi.org/10.1145/1741906.1742145.
Texto completoRuberto, Cecilia Di y Andrea Morgera. "Moment-Based Techniques for Image Retrieval". En 2008 19th International Conference on Database and Expert Systems Applications (DEXA). IEEE, 2008. http://dx.doi.org/10.1109/dexa.2008.73.
Texto completoLu, Lizhen, Renyi Liu y Nan Liu. "GIS semantics-based approach of remote sensing image retrieval". En MIPPR 2005 Image Analysis Techniques, editado por Deren Li y Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.655219.
Texto completoWang, Zhao-hui y Sheng-rong Gong. "MAIRS: a content-based multi-agent image retrieval system". En MIPPR 2005 Image Analysis Techniques, editado por Deren Li y Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.655288.
Texto completo"TEXTURE BASED IMAGE INDEXING AND RETRIEVAL". En Mathematical and Linguistic Techniques for Image Mining. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002065801770181.
Texto completoHussain, Chesti Altaff, D. Venkata Rao y S. Aruna Masthani. "Image retrieval using saliency content". En 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). IEEE, 2016. http://dx.doi.org/10.1109/iceeot.2016.7754804.
Texto completoIto, M., M. Koike, K. Ikeda, S. Hidaka y T. Aoki. "Examination of Image Retrieval System Using Subjective Image Information". En 6th Asia-Pacific Symposium on Information and Telecommunication Techniques. IEEE, 2005. http://dx.doi.org/10.1109/apsitt.2005.203641.
Texto completoInformes sobre el tema "IMAGE RETRIEVAL TECHNIQUES"
Hoch, Brendon y Samantha Cook. A 10-Year monthly climatology of wind direction : case-study assessment. Engineer Research and Development Center (U.S.), abril de 2023. http://dx.doi.org/10.21079/11681/46912.
Texto completoRigotti, Christophe y Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.
Texto completoRigotti, Christophe y Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.
Texto completoDecleir, Cyril, Mohand-Saïd Hacid y Jacques Kouloumdjian. A Database Approach for Modeling and Querying Video Data. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.90.
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