Stronger compact representations of object trajectories Article Swipe
YOU?
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· 2024
· Open Access
·
· DOI: https://doi.org/10.1080/10095020.2024.2310590
[Absctract]: GraCT and ContaCT were the first compressed data structures to represent object trajectories, demonstrating that it was possible to use orders of magnitude less space than classical indexes while staying competitive in query times. In this paper we considerably enhance their space, query capabilities, and time performance with three contributions. (1) We design and evaluate algorithms for more sophisticated nearest neighbor queries, finding the trajectories closest to a given trajectory or to a given point during a time interval. (2) We modify the data structure used to sample the spatial positions of the objects along time. This improves the performance on the classic spatio-temporal and the nearest neighbor queries, by orders of magnitude in some cases. (3) We introduce RelaCT, a tradeoff between the faster and larger ContaCT and the smaller and slower GraCT, offering a new relevant space-time tradeoff for large repetitive datasets of trajectories.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/10095020.2024.2310590
- https://www.tandfonline.com/doi/pdf/10.1080/10095020.2024.2310590?needAccess=true
- OA Status
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- References
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4391786199Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1080/10095020.2024.2310590Digital Object Identifier
- Title
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Stronger compact representations of object trajectoriesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-02-13Full publication date if available
- Authors
-
Adrián Gómez‐Brandón, Gonzalo Navarro, José R. Paramá, Nieves R. Brisaboa, Travis GagieList of authors in order
- Landing page
-
https://doi.org/10.1080/10095020.2024.2310590Publisher landing page
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https://www.tandfonline.com/doi/pdf/10.1080/10095020.2024.2310590?needAccess=trueDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.tandfonline.com/doi/pdf/10.1080/10095020.2024.2310590?needAccess=trueDirect OA link when available
- Concepts
-
Object (grammar), Computer science, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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47Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.the | 5, 64, 83, 89, 93, 99, 102, 106, 124, 130 |
| abstract_inverted_index.use | 20 |
| abstract_inverted_index.was | 17 |
| abstract_inverted_index.This | 97 |
| abstract_inverted_index.data | 8, 84 |
| abstract_inverted_index.less | 24 |
| abstract_inverted_index.more | 58 |
| abstract_inverted_index.some | 115 |
| abstract_inverted_index.than | 26 |
| abstract_inverted_index.that | 15 |
| abstract_inverted_index.this | 36 |
| abstract_inverted_index.time | 46, 78 |
| abstract_inverted_index.used | 86 |
| abstract_inverted_index.were | 4 |
| abstract_inverted_index.with | 48 |
| abstract_inverted_index.GraCT | 1 |
| abstract_inverted_index.along | 95 |
| abstract_inverted_index.first | 6 |
| abstract_inverted_index.given | 69, 74 |
| abstract_inverted_index.large | 142 |
| abstract_inverted_index.paper | 37 |
| abstract_inverted_index.point | 75 |
| abstract_inverted_index.query | 33, 43 |
| abstract_inverted_index.space | 25 |
| abstract_inverted_index.their | 41 |
| abstract_inverted_index.three | 49 |
| abstract_inverted_index.time. | 96 |
| abstract_inverted_index.while | 29 |
| abstract_inverted_index.GraCT, | 134 |
| abstract_inverted_index.cases. | 116 |
| abstract_inverted_index.design | 53 |
| abstract_inverted_index.during | 76 |
| abstract_inverted_index.faster | 125 |
| abstract_inverted_index.larger | 127 |
| abstract_inverted_index.modify | 82 |
| abstract_inverted_index.object | 12 |
| abstract_inverted_index.orders | 21, 111 |
| abstract_inverted_index.sample | 88 |
| abstract_inverted_index.slower | 133 |
| abstract_inverted_index.space, | 42 |
| abstract_inverted_index.times. | 34 |
| abstract_inverted_index.ContaCT | 3, 128 |
| abstract_inverted_index.RelaCT, | 120 |
| abstract_inverted_index.between | 123 |
| abstract_inverted_index.classic | 103 |
| abstract_inverted_index.closest | 66 |
| abstract_inverted_index.enhance | 40 |
| abstract_inverted_index.finding | 63 |
| abstract_inverted_index.indexes | 28 |
| abstract_inverted_index.nearest | 60, 107 |
| abstract_inverted_index.objects | 94 |
| abstract_inverted_index.smaller | 131 |
| abstract_inverted_index.spatial | 90 |
| abstract_inverted_index.staying | 30 |
| abstract_inverted_index.datasets | 144 |
| abstract_inverted_index.evaluate | 55 |
| abstract_inverted_index.improves | 98 |
| abstract_inverted_index.neighbor | 61, 108 |
| abstract_inverted_index.offering | 135 |
| abstract_inverted_index.possible | 18 |
| abstract_inverted_index.queries, | 62, 109 |
| abstract_inverted_index.relevant | 138 |
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| abstract_inverted_index.interval. | 79 |
| abstract_inverted_index.introduce | 119 |
| abstract_inverted_index.magnitude | 23, 113 |
| abstract_inverted_index.positions | 91 |
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| abstract_inverted_index.structure | 85 |
| abstract_inverted_index.algorithms | 56 |
| abstract_inverted_index.compressed | 7 |
| abstract_inverted_index.repetitive | 143 |
| abstract_inverted_index.space-time | 139 |
| abstract_inverted_index.structures | 9 |
| abstract_inverted_index.trajectory | 70 |
| abstract_inverted_index.competitive | 31 |
| abstract_inverted_index.performance | 47, 100 |
| abstract_inverted_index.[Absctract]: | 0 |
| abstract_inverted_index.considerably | 39 |
| abstract_inverted_index.trajectories | 65 |
| abstract_inverted_index.capabilities, | 44 |
| abstract_inverted_index.demonstrating | 14 |
| abstract_inverted_index.sophisticated | 59 |
| abstract_inverted_index.trajectories, | 13 |
| abstract_inverted_index.trajectories. | 146 |
| abstract_inverted_index.contributions. | 50 |
| abstract_inverted_index.spatio-temporal | 104 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5045121904 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I11019714 |
| citation_normalized_percentile.value | 0.01831761 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |