Relevant bibliographies by topics / Multimodal indexing

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

Academic literature on the topic 'Multimodal indexing'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Multimodal indexing"

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Payal Jain and Gaurav Khandelwal. "A Study of New Indexing Techniques for Multimodal Identification Using Iris, Fingerprint, and Face Biometrics." Journal of Advances in Science and Technology 20, no. 2 (2024): 116–19. http://dx.doi.org/10.29070/6eqjyg33.

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This paper explores innovative indexing techniques for multimodal biometric identification systems, focusing on iris, fingerprint, and facial recognition technologies. With the proliferation of digital identity verification needs, traditional single-modal biometric systems often fall short in terms of accuracy, speed, and security. Multimodal biometric systems, which integrate multiple biological characteristics, are becoming crucial for enhancing identification performance. This study aims to present a comprehensive analysis of new indexing methods that can significantly improve the efficienc
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Payal Jain and Gaurav Khandelwal. "Study of New Indexing Techniques for Multimodal Identification Using Iris, Fingerprint, and Face Biometrics." Journal of Advances in Science and Technology 20, no. 2 (2024): 116–19. http://dx.doi.org/10.29070/kyseb802.

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This paper explores innovative indexing techniques for multimodal biometric identification systems, focusing on iris, fingerprint, and facial recognition technologies. With the proliferation of digital identity verification needs, traditional single-modal biometric systems often fall short in terms of accuracy, speed, and security. Multimodal biometric systems, which integrate multiple biological characteristics, are becoming crucial for enhancing identification performance. This study aims to present a comprehensive analysis of new indexing methods that can significantly improve the efficienc
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Ghosh, Hiranmay, Sunil Kumar Kopparapu, Tanushyam Chattopadhyay, et al. "Multimodal Indexing of Multilingual News Video." International Journal of Digital Multimedia Broadcasting 2010 (2010): 1–18. http://dx.doi.org/10.1155/2010/486487.

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The problems associated with automatic analysis of news telecasts are more severe in a country like India, where there are many national and regional language channels, besides English. In this paper, we present a framework for multimodal analysis of multilingual news telecasts, which can be augmented with tools and techniques for specific news analytics tasks. Further, we focus on a set of techniques for automatic indexing of the news stories based on keywords spotted in speech as well as on the visuals of contemporary and domain interest. English keywords are derived from RSS feed and conver
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White, Jonathan R. "Multimodal and commercial identity work by Fortnite content creators." Journal of Gaming & Virtual Worlds 16, no. 1 (2024): 47–67. http://dx.doi.org/10.1386/jgvw_00091_1.

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In this article, identity practices by a group of Australian Fortnite content creators are analysed. These creators stream themselves playing the game and create videos for YouTube. Identity practices relate first of all to the game itself. The choice of avatar indexes the individual creator, especially when the avatar is used regularly or is specific to a creator. Choice of lexis in the form of jargon indexes the skill level and experience of the creators, with some indexing an identity as a skilful experienced player, and others indexing a less serious playing style. Finally, we have identif
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Kim, Jae-Gon Kim, Hyun Sung Chang Chang, Young-tae Kim Kim, et al. "Multimodal Approach for Summarizing and Indexing News Video." ETRI Journal 24, no. 1 (2002): 1–11. http://dx.doi.org/10.4218/etrij.02.0102.0101.

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Chen, Xu, Alfred O. Hero, III, and Silvio Savarese. "Multimodal Video Indexing and Retrieval Using Directed Information." IEEE Transactions on Multimedia 14, no. 1 (2012): 3–16. http://dx.doi.org/10.1109/tmm.2011.2167223.

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Jayaraman, Umarani, Surya Prakash, and Phalguni Gupta. "An efficient technique for indexing multimodal biometric databases." International Journal of Biometrics 1, no. 4 (2009): 418. http://dx.doi.org/10.1504/ijbm.2009.027304.

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S. Gomathy, K. P. Deepa, T. Revathi, and L. Maria Michael Visuwasam. "Genre Specific Classification for Information Search and Multimodal Semantic Indexing for Data Retrieval." SIJ Transactions on Computer Science Engineering & its Applications (CSEA) 01, no. 01 (2013): 10–15. http://dx.doi.org/10.9756/sijcsea/v1i1/01010159.

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Escalante, Hugo Jair, Manuel Montes, and Enrique Sucar. "Multimodal indexing based on semantic cohesion for image retrieval." Information Retrieval 15, no. 1 (2011): 1–32. http://dx.doi.org/10.1007/s10791-011-9170-z.

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Roquel, Krister Ian Daniel, Raymund Paolo Abad, and Alexis Fillone. "Proximity Indexing of Public Transport Terminals in Metro Manila." Sustainability 13, no. 8 (2021): 4216. http://dx.doi.org/10.3390/su13084216.

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Despite the extensive transit network in Metro Manila, intermodal connections between public transportation services are still fragmented. In response, authorities proposed various multimodal transport terminals around the periphery of the metropolis. However, there is a need to understand how these proposed terminals will impact existing transportation infrastructure and services as well as the current travel demand. This paper proposes a method that quantifies the nearness of any subject to any metric of interest, or in this case, the location of the terminal based on its proximity to existi
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Dissertations / Theses on the topic "Multimodal indexing"

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Zhu, Meng. "Cross-modal semantic-associative labelling, indexing and retrieval of multimodal data." Thesis, University of Reading, 2010. http://centaur.reading.ac.uk/24828/.

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Bursuc, Andrei. "Indexation et recherche de contenus par objet visuel." Phd thesis, Ecole Nationale Supérieure des Mines de Paris, 2012. http://pastel.archives-ouvertes.fr/pastel-00873966.

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La question de recherche des objets vidéo basés sur le contenu lui-même, est de plus en plus difficile et devient un élément obligatoire pour les moteurs de recherche vidéo. Cette thèse présente un cadre pour la recherche des objets vidéo définis par l'utilisateur et apporte deux grandes contributions. La première contribution, intitulée DOOR (Dynamic Object Oriented Retrieval), est un cadre méthodologique pour la recherche et récupération des instances d'objets vidéo sélectionnés par un utilisateur, tandis que la seconde contribution concerne le support offert pour la recherche des vidéos, à
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Merler, Michele. "Multimodal Indexing of Presentation Videos." Thesis, 2013. https://doi.org/10.7916/D8RV0VXX.

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This thesis presents four novel methods to help users efficiently and effectively retrieve information from unstructured and unsourced multimedia sources, in particular the increasing amount and variety of presentation videos such as those in e-learning, conference recordings, corporate talks, and student presentations. We demonstrate a system to summarize, index and cross-reference such videos, and measure the quality of the produced indexes as perceived by the end users. We introduce four major semantic indexing cues: text, speaker faces, graphics, and mosaics, going beyond standard tag base
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Tsai, Chun-Yu. "Multimodal News Summarization, Tracking and Annotation Incorporating Tensor Analysis of Memes." Thesis, 2017. https://doi.org/10.7916/D8FF44N7.

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We demonstrate four novel multimodal methods for efficient video summarization and comprehensive cross-cultural news video understanding. First, For video quick browsing, we demonstrate a multimedia event recounting system. Based on nine people-oriented design principles, it summarizes YouTube-like videos into short visual segments (812sec) and textual words (less than 10 terms). In the 2013 Trecvid Multimedia Event Recounting competition, this system placed first in recognition time efficiency, while remaining above average in description accuracy. Secondly, we demonstrate the sum
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Mourão, André Belchior. "Towards an Architecture for Efficient Distributed Search of Multimodal Information." Doctoral thesis, 2018. http://hdl.handle.net/10362/38850.

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The creation of very large-scale multimedia search engines, with more than one billion images and videos, is a pressing need of digital societies where data is generated by multiple connected devices. Distributing search indexes in cloud environments is the inevitable solution to deal with the increasing scale of image and video collections. The distribution of such indexes in this setting raises multiple challenges such as the even partitioning of data space, load balancing across index nodes and the fusion of the results computed over multiple nodes. The main question behind this thesis is
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Books on the topic "Multimodal indexing"

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Merler, Michele. Multimodal Indexing of Presentation Videos. [publisher not identified], 2013.

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Jay, Kuo C. C., ed. Video content analysis using multimodal information: For movie content extraction, indexing, and representation. Kluwer Academic Publishers, 2003.

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Li, Ying. Video content analysis using multimodal information: For movie content extraction, indexing, and representation. Kluwer Academic Publishers, 2003.

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Li, Ying. Video Content Analysis Using Multimodal Information: For Movie Content Extraction, Indexing and Representation. Springer US, 2003.

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Unimodal and Multimodal Biometric Data Indexing. De Gruyter, Inc., 2014.

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Unimodal and Multimodal Biometric Data Indexing. De Gruyter, Inc., 2014.

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Dey, Somnath, and Debasis Samanta. Unimodal and Multimodal Biometric Data Indexing. de Gruyter GmbH, Walter, 2015.

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Dey, Somnath, and Debasis Samanta. Unimodal and Multimodal Biometric Data Indexing. de Gruyter GmbH, Walter, 2014.

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Kuo, C. C. Jay, and Ying Li. Video Content Analysis Using Multimodal Information: For Movie Content Extraction, Indexing and Representation. Springer, 2003.

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Book chapters on the topic "Multimodal indexing"

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Rekabsaz, Navid, Ralf Bierig, Mihai Lupu, and Allan Hanbury. "Toward Optimized Multimodal Concept Indexing." In Transactions on Computational Collective Intelligence XXVI. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59268-8_7.

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Rekabsaz, Navid, Ralf Bierig, Mihai Lupu, and Allan Hanbury. "Toward Optimized Multimodal Concept Indexing." In Semantic Keyword-based Search on Structured Data Sources. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27932-9_13.

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Valente, Fabio, and Christian Wellekens. "Variational Bayesian Methods for Audio Indexing." In Machine Learning for Multimodal Interaction. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11677482_27.

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Paquet, Eric, and Herna L. Viktor. "Multimodal Representations, Indexing, Unexpectedness and Proteins." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21822-4_10.

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De Marsico, Maria, Riccardo Distasi, Michele Nappi, and Daniel Riccio. "Fractal Indexing in Multimodal Biometric Contexts." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-95972-4_5.

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Brown, Lucien, Iris Hübscher, Hyunji Kim, and Bodo Winter. "Chapter 5. Indexing social distance through bodily visual practices in two languages." In Multimodal Im/politeness. John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/pbns.333.05bro.

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Uegaki, Naoki, Masao Izumi, and Kunio Fukunaga. "Multimodal Automatic Indexing for Broadcast Soccer Video." In Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499145_81.

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Aronowitz, Hagai, David Burshtein, and Amihood Amir. "Speaker Indexing in Audio Archives Using Gaussian Mixture Scoring Simulation." In Machine Learning for Multimodal Interaction. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30568-2_21.

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Kim, Na Yeon, Yunhee Shin, and Eun Yi Kim. "Emotion-Based Textile Indexing Using Neural Networks." In Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73110-8_37.

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Li, Ying, Shrikanth Narayanan, and C. C. Jay Kuo. "Movie Content Analysis, Indexing and Skimming Via Multimodal Information." In Video Mining. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-6928-9_5.

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Conference papers on the topic "Multimodal indexing"

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Pegia, Maria-Eirini, Björn Pór Jónsson, Anastasia Moumtzidou, et al. "Descriptor Impact on Multimodal 3D Retrieval." In 2024 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2024. https://doi.org/10.1109/cbmi62980.2024.10859199.

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Strand, Aleksander Theo, Sushant Gautam, Cise Midoglu, and Pål Halvorsen. "SoccerRAG: Multimodal Soccer Information Retrieval via Natural Queries." In 2024 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2024. https://doi.org/10.1109/cbmi62980.2024.10859209.

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Jia, Haoyu, Xiaoming Wu, Shanshan Liu, Qile Yuan, Bei Qi, and Xiangzhi Liu. "An Efficient Multi-Layer Indexing Method on Blockchain for Multimodal Data Querying." In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2024. https://doi.org/10.1109/smc54092.2024.10830935.

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Pham, Lam, Tin Nguyen, Phat Lam, Hieu Tang, and Alexander Schindler. "Toolchain for Comprehensive Audio/Video Analysis Using Deep Learning Based Multimodal Approach: Use Case of Riot or Violent Context Detection." In 2024 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2024. https://doi.org/10.1109/cbmi62980.2024.10859210.

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Cheng, Peng-Wen, Snehal Chennuru, Senaka Buthpitiya, and Ying Zhang. "A language-based approach to indexing heterogeneous multimedia lifelog." In International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction. ACM Press, 2010. http://dx.doi.org/10.1145/1891903.1891937.

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Poli, Jean-Philippe, jeremy Philippeau, Julien Pinquier, and Jean Carrive. "Fast Hierarchical Multimodal Structuring of Time Slots." In 2007 International Workshop on Content-Based Multimedia Indexing. IEEE, 2007. http://dx.doi.org/10.1109/cbmi.2007.385395.

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Gyaourova, Aglika, and Arun Ross. "A coding scheme for indexing multimodal biometric databases." In 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2009. http://dx.doi.org/10.1109/cvprw.2009.5204311.

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Gyaourova, A., and A. Ross. "A coding scheme for indexing multimodal biometric databases." In 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR Workshops). IEEE, 2009. http://dx.doi.org/10.1109/cvpr.2009.5204311.

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Joyseeree, Ranveer, Roger Schaer, and Henning Muller. "A Demo of multimodal medical retrieval." In 2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI). IEEE, 2016. http://dx.doi.org/10.1109/cbmi.2016.7500263.

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Armin, Kirchknopf, Slijepcevic Djordje, and Zeppelzauer Matthias. "Multimodal Detection of Information Disorder from Social Media." In 2021 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2021. http://dx.doi.org/10.1109/cbmi50038.2021.9461898.

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