Personal-location-based temporal segmentation of egocentric videos for lifelogging applications
• We address the task of location-based segmentation of egocentric videos. • A new egocentric dataset of a subject in 10 different locations is released. • We propose a method for classification and rejection of negative samples. • The proposed method is compared with baselines and state of the art...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Furnari, Antonino [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Umfang: |
12 |
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| Übergeordnetes Werk: |
Enthalten in: Propolis as lipid bioactive nano-carrier for topical nasal drug delivery - Rassu, Giovanna ELSEVIER, 2015, Orlando, Fla |
|---|---|
| Übergeordnetes Werk: |
volume:52 ; year:2018 ; pages:1-12 ; extent:12 |
| Links: |
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| DOI / URN: |
10.1016/j.jvcir.2018.01.019 |
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| 520 | |a • We address the task of location-based segmentation of egocentric videos. • A new egocentric dataset of a subject in 10 different locations is released. • We propose a method for classification and rejection of negative samples. • The proposed method is compared with baselines and state of the art methods. | ||
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personal-location-based temporal segmentation of egocentric videos for lifelogging applications |
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Personal-location-based temporal segmentation of egocentric videos for lifelogging applications |
| abstract |
• We address the task of location-based segmentation of egocentric videos. • A new egocentric dataset of a subject in 10 different locations is released. • We propose a method for classification and rejection of negative samples. • The proposed method is compared with baselines and state of the art methods. |
| abstractGer |
• We address the task of location-based segmentation of egocentric videos. • A new egocentric dataset of a subject in 10 different locations is released. • We propose a method for classification and rejection of negative samples. • The proposed method is compared with baselines and state of the art methods. |
| abstract_unstemmed |
• We address the task of location-based segmentation of egocentric videos. • A new egocentric dataset of a subject in 10 different locations is released. • We propose a method for classification and rejection of negative samples. • The proposed method is compared with baselines and state of the art methods. |
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| title_short |
Personal-location-based temporal segmentation of egocentric videos for lifelogging applications |
| url |
https://doi.org/10.1016/j.jvcir.2018.01.019 |
| remote_bool |
true |
| author2 |
Battiato, Sebastiano Farinella, Giovanni Maria |
| author2Str |
Battiato, Sebastiano Farinella, Giovanni Maria |
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| doi_str |
10.1016/j.jvcir.2018.01.019 |
| up_date |
2024-07-06T22:28:58.832Z |
| _version_ |
1803870471541751808 |
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