Smart Multimedia Information Retrieval
The area of multimedia information retrieval (MMIR) faces two major challenges: the enormously growing number of multimedia objects (i.e., images, videos, audio, and text files), and the fast increasing level of detail of these objects (e.g., the number of pixels in images). Both challenges lead to...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
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| Series: | Analytics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2813-2203/2/1/11 |
| _version_ | 1797613962581245952 |
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| author | Stefan Wagenpfeil Paul Mc Kevitt Matthias Hemmje |
| author_facet | Stefan Wagenpfeil Paul Mc Kevitt Matthias Hemmje |
| author_sort | Stefan Wagenpfeil |
| collection | DOAJ |
| description | The area of multimedia information retrieval (MMIR) faces two major challenges: the enormously growing number of multimedia objects (i.e., images, videos, audio, and text files), and the fast increasing level of detail of these objects (e.g., the number of pixels in images). Both challenges lead to a high demand of scalability, semantic representations, and explainability of MMIR processes. Smart MMIR solves these challenges by employing graph codes as an indexing structure, attaching semantic annotations for explainability, and employing application profiling for scaling, which results in human-understandable, expressive, and interoperable MMIR. The mathematical foundation, the modeling, implementation detail, and experimental results are shown in this paper, which confirm that Smart MMIR improves MMIR in the area of efficiency, effectiveness, and human understandability. |
| first_indexed | 2024-03-11T07:02:56Z |
| format | Article |
| id | doaj.art-d64c0248225b4549826271eec3961f83 |
| institution | Directory Open Access Journal |
| issn | 2813-2203 |
| language | English |
| last_indexed | 2024-03-11T07:02:56Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Analytics |
| spelling | doaj.art-d64c0248225b4549826271eec3961f832023-11-17T09:10:01ZengMDPI AGAnalytics2813-22032023-02-012119822410.3390/analytics2010011Smart Multimedia Information RetrievalStefan Wagenpfeil0Paul Mc Kevitt1Matthias Hemmje2Faculty of Mathematics and Computer Science, University of Hagen, Universitätsstrasse 1, D-58097 Hagen, GermanyAcademy for International Science & Research (AISR), Derry BT48 7JL, Northern Ireland, UKFaculty of Mathematics and Computer Science, University of Hagen, Universitätsstrasse 1, D-58097 Hagen, GermanyThe area of multimedia information retrieval (MMIR) faces two major challenges: the enormously growing number of multimedia objects (i.e., images, videos, audio, and text files), and the fast increasing level of detail of these objects (e.g., the number of pixels in images). Both challenges lead to a high demand of scalability, semantic representations, and explainability of MMIR processes. Smart MMIR solves these challenges by employing graph codes as an indexing structure, attaching semantic annotations for explainability, and employing application profiling for scaling, which results in human-understandable, expressive, and interoperable MMIR. The mathematical foundation, the modeling, implementation detail, and experimental results are shown in this paper, which confirm that Smart MMIR improves MMIR in the area of efficiency, effectiveness, and human understandability.https://www.mdpi.com/2813-2203/2/1/11indexingretrievalexplainabilitysemanticmultimediafeature graph |
| spellingShingle | Stefan Wagenpfeil Paul Mc Kevitt Matthias Hemmje Smart Multimedia Information Retrieval Analytics indexing retrieval explainability semantic multimedia feature graph |
| title | Smart Multimedia Information Retrieval |
| title_full | Smart Multimedia Information Retrieval |
| title_fullStr | Smart Multimedia Information Retrieval |
| title_full_unstemmed | Smart Multimedia Information Retrieval |
| title_short | Smart Multimedia Information Retrieval |
| title_sort | smart multimedia information retrieval |
| topic | indexing retrieval explainability semantic multimedia feature graph |
| url | https://www.mdpi.com/2813-2203/2/1/11 |
| work_keys_str_mv | AT stefanwagenpfeil smartmultimediainformationretrieval AT paulmckevitt smartmultimediainformationretrieval AT matthiashemmje smartmultimediainformationretrieval |