{"keyword":["Motif discovery","Image processing","Wavelet transformation"],"main_file_link":[{"url":"http://www.thinkmind.org/index.php?view=instance&instance=PESARO+2017","open_access":"1"}],"status":"public","place":"PESARO 2017; Venice, Italy ","type":"conference","citation":{"chicago-de":"Deppe, Sahar und Volker Lohweg. 2017. Shift-Invariant Motif Discovery in Image Processing „Best Paper Award“. In: PESARO 2017 The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications, hg. von Wolfgang Leister, 27–32. PESARO 2017; Venice, Italy  : The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications; Special track MAIS: Machine Learning Algorithms in Image and Signal Processing.","din1505-2-1":"Deppe, Sahar ; Lohweg, Volker: Shift-Invariant Motif Discovery in Image Processing „Best Paper Award“. In: Leister, W. (Hrsg.): PESARO 2017 The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications. PESARO 2017; Venice, Italy   : The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications; Special track MAIS: Machine Learning Algorithms in Image and Signal Processing, 2017, S. 27–32","ama":"Deppe S, Lohweg V. Shift-Invariant Motif Discovery in Image Processing “Best Paper Award.” In: Leister W, ed. PESARO 2017 The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications. PESARO 2017; Venice, Italy  : The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications; Special track MAIS: Machine Learning Algorithms in Image and Signal Processing; 2017:27-32.","van":"Deppe S, Lohweg V. Shift-Invariant Motif Discovery in Image Processing “Best Paper Award.” In: Leister W, editor. PESARO 2017 The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications. PESARO 2017; Venice, Italy  : The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications; Special track MAIS: Machine Learning Algorithms in Image and Signal Processing; 2017. p. 27–32.","mla":"Deppe, Sahar, and Volker Lohweg. “Shift-Invariant Motif Discovery in Image Processing ‘Best Paper Award.’” PESARO 2017 The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications, edited by Wolfgang Leister, The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications; Special track MAIS: Machine Learning Algorithms in Image and Signal Processing, 2017, pp. 27–32.","ieee":"S. Deppe and V. Lohweg, “Shift-Invariant Motif Discovery in Image Processing ‘Best Paper Award,’” in PESARO 2017 The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications, Venice, Italy , 2017, pp. 27–32.","havard":"S. Deppe, V. Lohweg, Shift-Invariant Motif Discovery in Image Processing “Best Paper Award,” in: W. Leister (Ed.), PESARO 2017 The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications, The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications; Special track MAIS: Machine Learning Algorithms in Image and Signal Processing, PESARO 2017; Venice, Italy  , 2017: pp. 27–32.","short":"S. Deppe, V. Lohweg, in: W. Leister (Ed.), PESARO 2017 The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications, The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications; Special track MAIS: Machine Learning Algorithms in Image and Signal Processing, PESARO 2017; Venice, Italy  , 2017, pp. 27–32.","chicago":"Deppe, Sahar, and Volker Lohweg. “Shift-Invariant Motif Discovery in Image Processing ‘Best Paper Award.’” In PESARO 2017 The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications, edited by Wolfgang Leister, 27–32. PESARO 2017; Venice, Italy  : The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications; Special track MAIS: Machine Learning Algorithms in Image and Signal Processing, 2017.","apa":"Deppe, S., & Lohweg, V. (2017). Shift-Invariant Motif Discovery in Image Processing “Best Paper Award.” In W. Leister (Ed.), PESARO 2017 The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications (pp. 27–32). PESARO 2017; Venice, Italy  : The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications; Special track MAIS: Machine Learning Algorithms in Image and Signal Processing.","bjps":"Deppe S and Lohweg V (2017) Shift-Invariant Motif Discovery in Image Processing ‘Best Paper Award’. In Leister W (ed.), PESARO 2017 The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications. PESARO 2017; Venice, Italy  : The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications; Special track MAIS: Machine Learning Algorithms in Image and Signal Processing, pp. 27–32.","ufg":"Deppe, Sahar/Lohweg, Volker (2017): Shift-Invariant Motif Discovery in Image Processing „Best Paper Award“, in: Wolfgang Leister (Hg.): PESARO 2017 The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications, PESARO 2017; Venice, Italy  , S. 27–32."},"title":"Shift-Invariant Motif Discovery in Image Processing 'Best Paper Award'","editor":[{"full_name":"Leister, Wolfgang","last_name":"Leister","first_name":"Wolfgang"}],"language":[{"iso":"eng"}],"date_updated":"2023-03-15T13:49:38Z","date_created":"2019-11-25T09:06:50Z","year":2017,"_id":"2022","publication_status":"published","conference":{"location":"Venice, Italy ","name":"7. International Conference on Performance (PESARO 2017)","end_date":"2017-04-27","start_date":"2017-04-23"},"author":[{"full_name":"Deppe, Sahar","id":"52121","first_name":"Sahar","last_name":"Deppe"},{"first_name":"Volker","last_name":"Lohweg","orcid":"0000-0002-3325-7887","full_name":"Lohweg, Volker","id":"1804"}],"department":[{"_id":"DEP5023"}],"publisher":"The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications; Special track MAIS: Machine Learning Algorithms in Image and Signal Processing","page":"27-32","user_id":"15514","oa":"1","abstract":[{"lang":"eng","text":"Nowadays, the boost of optical imaging technologies results in more data with a faster rate are being collected. Consequently, data and knowledge discovery science has become an attractive and a fast growing topic in several industry and research area. Motif discovery in image processing aims to tackle the problem of deriving structures or detecting regularities in image databases. Most of the motif discovery methods first convert images into time series and then attempt to find motifs in such data. This might lead to information loss and also the problem of inability to detect shifted and multi-scale image motifs of different size. Here, a method is proposed to find image motifs of different size in image datasets by applying images in original dimension without converting them to time series. Images are inspected by the Complex Quad Tree Wavelet Packet transform which provides broad frequency analysis of an image in various scales. Next, features are extracted from the wavelet coefficients. Finally, image motifs are detected by measuring the similarity of the features. The performance of the proposed method is demonstrated on a dataset with images from diverse applications, such as hand gesture, text recognition, leaf and plant identification, etc. "}],"publication_identifier":{"eisbn":["978-1-61208-549-4"],"eissn":["2308-3700"]},"publication":"PESARO 2017 The Seventh International Conference on Performance, Safety and Robustness in Complex Systems and Applications"}