{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,1,7]],"date-time":"2024-01-07T00:09:15Z","timestamp":1704586155318},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2023,5,30]],"date-time":"2023-05-30T00:00:00Z","timestamp":1685404800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,5,30]],"date-time":"2023-05-30T00:00:00Z","timestamp":1685404800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1007\/s11042-023-15428-4","type":"journal-article","created":{"date-parts":[[2023,5,30]],"date-time":"2023-05-30T06:02:27Z","timestamp":1685426547000},"page":"5055-5078","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Shot boundary detection using multimodal Siamese network"],"prefix":"10.1007","volume":"83","author":[{"given":"Bouyahi","family":"Mohamed","sequence":"first","affiliation":[]},{"given":"Ben Ayed","family":"Yassine","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,5,30]]},"reference":[{"issue":"14","key":"15428_CR1","doi-asserted-by":"publisher","first-page":"20361","DOI":"10.1007\/s11042-019-7364-3","volume":"78","author":"SH Abdulhussain","year":"2019","unstructured":"Abdulhussain SH, Ramli AR, Mahmmod BM, Saripan MI, Al-Haddad S, Jassim WA (2019) Shot boundary detection based on orthogonal polynomial. Multimed Tools Appl 78(14):20361\u201320382","journal-title":"Multimed Tools Appl"},{"issue":"4","key":"15428_CR2","doi-asserted-by":"publisher","first-page":"214","DOI":"10.3390\/e20040214","volume":"20","author":"SH Abdulhussain","year":"2018","unstructured":"Abdulhussain SH, Ramli AR, Saripan MI, Mahmmod BM, Al-Haddad SAR, Jassim WA, et al. (2018) Methods and challenges in shot boundary detection: a review. Entropy 20(4):214","journal-title":"Entropy"},{"key":"15428_CR3","doi-asserted-by":"publisher","first-page":"218386","DOI":"10.1109\/ACCESS.2020.3042484","volume":"8","author":"S Amirian","year":"2020","unstructured":"Amirian S, Rasheed K, Taha TR, Arabnia HR (2020) Automatic image and video caption generation with deep learning: a concise review and algorithmic overlap. IEEE Access 8:218386\u2013218400","journal-title":"IEEE Access"},{"issue":"29","key":"15428_CR4","doi-asserted-by":"publisher","first-page":"20483","DOI":"10.1007\/s11042-019-07988-1","volume":"79","author":"I Bakkouri","year":"2020","unstructured":"Bakkouri I, Afdel K (2020) Computer-aided diagnosis (cad) system based on multi-layer feature fusion network for skin lesion recognition in dermoscopy images. Multimed Tools Appl 79(29):20483\u201320518","journal-title":"Multimed Tools Appl"},{"issue":"6","key":"15428_CR5","doi-asserted-by":"publisher","first-page":"4423","DOI":"10.1007\/s00500-020-05453-y","volume":"25","author":"M Bansal","year":"2021","unstructured":"Bansal M, Kumar M, Kumar M, Kumar K (2021) An efficient technique for object recognition using shi-tomasi corner detection algorithm. Soft Comput 25(6):4423\u20134432","journal-title":"Soft Comput"},{"key":"15428_CR6","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.procs.2020.08.002","volume":"176","author":"M Bouyahi","year":"2020","unstructured":"Bouyahi M, Ayed YB (2020) Video scenes segmentation based on multimodal genre prediction. Proc Comput Sci 176:10\u201321","journal-title":"Proc Comput Sci"},{"key":"15428_CR7","doi-asserted-by":"crossref","unstructured":"Bouyahi M, Ayed YB (2021) Multimodal features for shots boundary detection. In: International conference on machine vision, vol. 11605, pp 661\u2013670","DOI":"10.1117\/12.2587152"},{"key":"15428_CR8","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.inffus.2021.01.004","volume":"71","author":"DD Chakladar","year":"2021","unstructured":"Chakladar DD, Kumar P, Roy PP, Dogra DP, Scheme E, Chang V (2021) A multimodal-siamese neural network (msnn) for person verification using signatures and eeg. Inf Fus 71:17\u201327","journal-title":"Inf Fus"},{"issue":"9","key":"15428_CR9","doi-asserted-by":"publisher","first-page":"3207","DOI":"10.1007\/s10489-019-01444-1","volume":"49","author":"S Chakraborty","year":"2019","unstructured":"Chakraborty S, Thounaojam DM (2019) A novel shot boundary detection system using hybrid optimization technique. Appl Intell 49(9):3207\u20133220","journal-title":"Appl Intell"},{"issue":"2","key":"15428_CR10","doi-asserted-by":"publisher","first-page":"3071","DOI":"10.1007\/s11042-020-09683-y","volume":"80","author":"S Chakraborty","year":"2021","unstructured":"Chakraborty S, Thounaojam DM (2021) Sbd-duo: a dual stage shot boundary detection technique robust to motion and illumination effect. Multimed Tools Appl 80(2):3071\u20133087","journal-title":"Multimed Tools Appl"},{"issue":"3","key":"15428_CR11","doi-asserted-by":"publisher","first-page":"4007","DOI":"10.1007\/s11042-020-09857-8","volume":"80","author":"S Chakraborty","year":"2021","unstructured":"Chakraborty S, Thounaojam DM, Sinha N (2021) A shot boundary detection technique based on visual colour information. Multimed Tools Appl 80 (3):4007\u20134022","journal-title":"Multimed Tools Appl"},{"key":"15428_CR12","doi-asserted-by":"crossref","unstructured":"Chavate S, Mishra R, Yadav P (2021) A comparative analysis of video shot boundary detection using different approaches. In: 2021 10Th international conference on system modeling & advancement in research trends (SMART), pp 1\u20137","DOI":"10.1109\/SMART52563.2021.9676246"},{"issue":"3","key":"15428_CR13","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/j.icte.2020.04.012","volume":"6","author":"J-A Choi","year":"2020","unstructured":"Choi J-A, Lim K (2020) Identifying machine learning techniques for classification of target advertising. ICT Express 6(3):175\u2013180","journal-title":"ICT Express"},{"key":"15428_CR14","doi-asserted-by":"crossref","unstructured":"Deng J, Dong W, Socher R, Li L. -J., Li K, Fei-Fei L (2009) Imagenet: a large-scale hierarchical image database. In: 2009 IEEE Conference on computer vision and pattern recognition, pp 248\u2013255","DOI":"10.1109\/CVPR.2009.5206848"},{"issue":"3","key":"15428_CR15","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1007\/s13735-019-00183-w","volume":"9","author":"T Georgiou","year":"2020","unstructured":"Georgiou T, Liu Y, Chen W, Lew M (2020) A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision. Int J Multimed Inf Retriev 9(3):135\u2013170","journal-title":"Int J Multimed Inf Retriev"},{"key":"15428_CR16","doi-asserted-by":"crossref","unstructured":"Guo Q, Feng W, Zhou C, Huang R, Wan L, Wang S (2017) Learning dynamic siamese network for visual object tracking. In: Proceedings of the IEEE international conference on computer vision, pp 1763\u20131771","DOI":"10.1109\/ICCV.2017.196"},{"issue":"4","key":"15428_CR17","doi-asserted-by":"publisher","first-page":"374","DOI":"10.3390\/e22040374","volume":"22","author":"L He","year":"2020","unstructured":"He L, Shen X-H, Zhang M-H, Wang H-Y (2020) Segmentation method for ship-radiated noise using the generalized likelihood ratio test on an ordinal pattern distribution. Entropy 22(4):374","journal-title":"Entropy"},{"key":"15428_CR18","doi-asserted-by":"crossref","unstructured":"He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 770\u2013778","DOI":"10.1109\/CVPR.2016.90"},{"key":"15428_CR19","doi-asserted-by":"crossref","unstructured":"Hou L, Jin X, Zhao Z (2019) Time series similarity measure via siamese convolutional neural network. In: 2019 12Th international congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI), pp 1\u20136","DOI":"10.1109\/CISP-BMEI48845.2019.8966048"},{"key":"15428_CR20","doi-asserted-by":"crossref","unstructured":"Ichida AY, Meneguzzi F, Ruiz DD (2018) Measuring semantic similarity between sentences using a siamese neural network. In: 2018 International joint conference on neural networks (IJCNN), pp 1\u20137","DOI":"10.1109\/IJCNN.2018.8489433"},{"issue":"1","key":"15428_CR21","doi-asserted-by":"publisher","first-page":"1379","DOI":"10.1007\/s11042-015-3130-3","volume":"76","author":"LH Iwan","year":"2017","unstructured":"Iwan LH, Thom JA (2017) Temporal video segmentation: detecting the end-of-act in circus performance videos. Multimed Tools Appl 76(1):1379\u20131401","journal-title":"Multimed Tools Appl"},{"key":"15428_CR22","doi-asserted-by":"crossref","unstructured":"Jiang H, Learned-Miller E (2017) Face detection with the faster r-cnn. In: 2017 12Th IEEE international conference on automatic face gesture recognition, pp 650\u2013657","DOI":"10.1109\/FG.2017.82"},{"key":"15428_CR23","doi-asserted-by":"crossref","unstructured":"Langford Z, Eisenbeiser L, Vondal M (2019) Robust signal classification using siamese networks. In: Proceedings of the ACM workshop on wireless security and machine learning, pp 1\u20135","DOI":"10.1145\/3324921.3328781"},{"key":"15428_CR24","doi-asserted-by":"crossref","unstructured":"Mocanu B, Tapu R, Zaharia T (2020) A multimodal high level video segmentation for content targeted online advertising. In: International symposium on visual computing, pp 506\u2013517","DOI":"10.1007\/978-3-030-64559-5_40"},{"key":"15428_CR25","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.ecoinf.2013.09.003","volume":"23","author":"GL Priya","year":"2014","unstructured":"Priya GL, Domnic S (2014) Shot based keyframe extraction for ecological video indexing and retrieval. Ecol Inf 23:107\u2013117","journal-title":"Ecol Inf"},{"issue":"1","key":"15428_CR26","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1007\/s11042-020-09697-6","volume":"80","author":"B Rashmi","year":"2021","unstructured":"Rashmi B, Nagendraswamy H (2021) Video shot boundary detection using block based cumulative approach. Multimed Tools Appl 80(1):641\u2013664","journal-title":"Multimed Tools Appl"},{"key":"15428_CR27","first-page":"138","volume":"112793","author":"MN Rastgoo","year":"2019","unstructured":"Rastgoo MN, Nakisa B, Maire F, Rakotonirainy A, Chandran V (2019) Automatic driver stress level classification using multimodal deep learning. Expert Syst Appl 112793:138","journal-title":"Expert Syst Appl"},{"key":"15428_CR28","doi-asserted-by":"publisher","first-page":"143759","DOI":"10.1109\/ACCESS.2020.3009537","volume":"8","author":"M Sajjad","year":"2020","unstructured":"Sajjad M, Khan ZA, Ullah A, Hussain T, Ullah W, Lee MY, Baik SW (2020) A novel cnn-gru-based hybrid approach for short-term residential load forecasting. IEEE Access 8:143759\u2013143768","journal-title":"IEEE Access"},{"key":"15428_CR29","first-page":"67","volume":"102754","author":"A Sasithradevi","year":"2020","unstructured":"Sasithradevi A, Roomi SMM (2020) A new pyramidal opponent color-shape model based video shot boundary detection. J Vis Commun Image Represent 102754:67","journal-title":"J Vis Commun Image Represent"},{"key":"15428_CR30","doi-asserted-by":"publisher","first-page":"139489","DOI":"10.1109\/ACCESS.2021.3118541","volume":"9","author":"V Sharma","year":"2021","unstructured":"Sharma V, Gupta M, Kumar A, Mishra D (2021) Video processing using deep learning techniques: a systematic literature review. IEEE Access 9:139489\u2013139507","journal-title":"IEEE Access"},{"issue":"5","key":"15428_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11704-019-8229-7","volume":"14","author":"L Shen","year":"2020","unstructured":"Shen L, Hong R, Hao Y (2020) Advance on large scale near-duplicate video retrieval. Front Comput Sci 14(5):1\u201324","journal-title":"Front Comput Sci"},{"key":"15428_CR32","first-page":"163","volume":"113788","author":"A Shoeibi","year":"2021","unstructured":"Shoeibi A, Ghassemi N, Alizadehsani R, Rouhani M, Hosseini-Nejad H, Khosravi A, Panahiazar M, Nahavandi S (2021) A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in eeg signals. Expert Syst Appl 113788:163","journal-title":"Expert Syst Appl"},{"key":"15428_CR33","first-page":"90","volume":"103557","author":"N Spolaor","year":"2020","unstructured":"Spolaor N, Lee HD, Takaki WSR, Ensina LA, Coy CSR, Wu FC (2020) A systematic review on content-based video retrieval. Eng Appl Artif Intell 103557:90","journal-title":"Eng Appl Artif Intell"},{"key":"15428_CR34","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.neucom.2020.10.031","volume":"423","author":"J Sun","year":"2021","unstructured":"Sun J, Peng Y, Guo Y, Li D (2021) Segmentation of the multimodal brain tumor image used the multi-pathway architecture method based on 3d fcn. Neurocomputing 423:34\u201345","journal-title":"Neurocomputing"},{"issue":"1","key":"15428_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s13755-020-00129-1","volume":"8","author":"S Supriya","year":"2020","unstructured":"Supriya S, Siuly S, Wang H, Zhang Y (2020) Automated epilepsy detection techniques from electroencephalogram signals: a review study. Health Inf Sci Syst 8(1):1\u201315","journal-title":"Health Inf Sci Syst"},{"key":"15428_CR36","unstructured":"Tan M, Le Q (2019) Efficientnet: Rethinking model scaling for convolutional neural networks International conference on machine learning, pp 6105\u20136114"},{"key":"15428_CR37","doi-asserted-by":"crossref","unstructured":"Tanberk S, Da\u011fl\u0131 V, G\u00fcrkan MK (2021) Deep learning for videoconferencing: a brief examination of speech to text and speech synthesis. In: 6Th international conference on computer science and engineering (UBMK), pp 506\u2013511","DOI":"10.1109\/UBMK52708.2021.9558954"},{"issue":"2","key":"15428_CR38","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1007\/s13735-017-0123-1","volume":"6","author":"DM Thounaojam","year":"2017","unstructured":"Thounaojam DM, Bhadouria VS, Roy S, Singh K, et al. (2017) Shot boundary detection using perceptual and semantic information. Int J Multimed Inf Retr 6(2):167\u2013174","journal-title":"Int J Multimed Inf Retr"},{"key":"15428_CR39","doi-asserted-by":"publisher","first-page":"12563","DOI":"10.1109\/ACCESS.2017.2717998","volume":"5","author":"S Tippaya","year":"2017","unstructured":"Tippaya S, Sitjongsataporn S, Tan T, Khan MM, Chamnongthai K (2017) Multi-modal visual features-based video shot boundary detection. IEEE Access 5:12563\u201312575","journal-title":"IEEE Access"},{"key":"15428_CR40","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.isprsjprs.2021.12.005","volume":"184","author":"Q Zhu","year":"2022","unstructured":"Zhu Q, Guo X, Deng W, Guan Q, Zhong Y, Zhang L, Li D (2022) Land-use\/land-cover change detection based on a siamese global learning framework for high spatial resolution remote sensing imagery. J Photogrammetry Remote Sens 184:63\u201378","journal-title":"J Photogrammetry Remote Sens"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-15428-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-15428-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-15428-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,6]],"date-time":"2024-01-06T05:34:51Z","timestamp":1704519291000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-15428-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,30]]},"references-count":40,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,1]]}},"alternative-id":["15428"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-15428-4","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,30]]},"assertion":[{"value":"17 February 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 March 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 April 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 May 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article. All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript. The authors have no financial or proprietary interests in any material discussed in this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Competing interests"}}]}}