Changes
On December 3, 2024 at 7:51:18 AM UTC, admin:
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Changed title to Ego4d (previously Ego4D)
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Set author of Ego4d to K. Grauman (previously Kevin Flanagan)
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Updated description of Ego4d from
Short-Term object-interaction Anticipation (STA) consists of detecting the location of the next-active objects, the noun and verb categories of the interaction, and the time to contact from the observation of egocentric video.
toEgo4d is a large-scale egocentric video dataset that contains 3000 hours of video.
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Removed the following tags from Ego4d
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Added tag human activity to Ego4d
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Changed value of field
defined_in
to in Ego4d -
Changed value of field
extra_authors
to[{'extra_author': 'A. Westbury', 'orcid': ''}, {'extra_author': 'E. Byrne', 'orcid': ''}, {'extra_author': 'Z. Chavis', 'orcid': ''}, {'extra_author': 'A. Furnari', 'orcid': ''}, {'extra_author': 'R. Girdhar', 'orcid': ''}, {'extra_author': 'J. Hamburger', 'orcid': ''}, {'extra_author': 'H. Jiang', 'orcid': ''}, {'extra_author': 'M. Liu', 'orcid': ''}, {'extra_author': 'X. Liu', 'orcid': ''}]
in Ego4d -
Changed value of field
citation
to[]
in Ego4d -
Changed value of field
landing_page
tohttps://github.com/ego4d/ego4d
in Ego4d -
Deleted resource Original Metadata from Ego4d
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
n | 3 | "author": "Kevin Flanagan", | n | 3 | "author": "K. Grauman", |
4 | "author_email": "", | 4 | "author_email": "", | ||
n | 5 | "citation": [ | n | 5 | "citation": [], |
6 | "https://doi.org/10.48550/arXiv.2406.01194", | ||||
7 | "https://doi.org/10.48550/arXiv.2310.17395", | ||||
8 | "https://doi.org/10.48550/arXiv.2406.11816", | ||||
9 | "https://doi.org/10.48550/arXiv.2308.12270" | ||||
10 | ], | ||||
11 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
n | 12 | "defined_in": "https://doi.org/10.48550/arXiv.2312.05269", | n | 7 | "defined_in": "", |
13 | "doi": "10.57702/c8ldsqfj", | 8 | "doi": "10.57702/c8ldsqfj", | ||
14 | "doi_date_published": "2024-12-02", | 9 | "doi_date_published": "2024-12-02", | ||
15 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
16 | "doi_status": true, | 11 | "doi_status": true, | ||
17 | "domain": "https://service.tib.eu/ldmservice", | 12 | "domain": "https://service.tib.eu/ldmservice", | ||
18 | "extra_authors": [ | 13 | "extra_authors": [ | ||
19 | { | 14 | { | ||
n | 20 | "extra_author": "Dima Damen", | n | 15 | "extra_author": "A. Westbury", |
21 | "orcid": "" | 16 | "orcid": "" | ||
22 | }, | 17 | }, | ||
23 | { | 18 | { | ||
n | n | 19 | "extra_author": "E. Byrne", | ||
20 | "orcid": "" | ||||
21 | }, | ||||
22 | { | ||||
23 | "extra_author": "Z. Chavis", | ||||
24 | "orcid": "" | ||||
25 | }, | ||||
26 | { | ||||
27 | "extra_author": "A. Furnari", | ||||
28 | "orcid": "" | ||||
29 | }, | ||||
30 | { | ||||
24 | "extra_author": "Michael Wray", | 31 | "extra_author": "R. Girdhar", | ||
32 | "orcid": "" | ||||
33 | }, | ||||
34 | { | ||||
35 | "extra_author": "J. Hamburger", | ||||
36 | "orcid": "" | ||||
37 | }, | ||||
38 | { | ||||
39 | "extra_author": "H. Jiang", | ||||
40 | "orcid": "" | ||||
41 | }, | ||||
42 | { | ||||
43 | "extra_author": "M. Liu", | ||||
44 | "orcid": "" | ||||
45 | }, | ||||
46 | { | ||||
47 | "extra_author": "X. Liu", | ||||
25 | "orcid": "" | 48 | "orcid": "" | ||
26 | } | 49 | } | ||
27 | ], | 50 | ], | ||
28 | "groups": [ | 51 | "groups": [ | ||
n | 29 | { | n | ||
30 | "description": "", | ||||
31 | "display_name": "Action Localization", | ||||
32 | "id": "654ac67d-0308-460b-bf70-1854a4ca6078", | ||||
33 | "image_display_url": "", | ||||
34 | "name": "action-localization", | ||||
35 | "title": "Action Localization" | ||||
36 | }, | ||||
37 | { | 52 | { | ||
38 | "description": "", | 53 | "description": "", | ||
39 | "display_name": "Action Recognition", | 54 | "display_name": "Action Recognition", | ||
40 | "id": "5b2d4f5c-80f9-49e1-8509-4df578ada808", | 55 | "id": "5b2d4f5c-80f9-49e1-8509-4df578ada808", | ||
41 | "image_display_url": "", | 56 | "image_display_url": "", | ||
42 | "name": "action-recognition", | 57 | "name": "action-recognition", | ||
43 | "title": "Action Recognition" | 58 | "title": "Action Recognition" | ||
44 | }, | 59 | }, | ||
45 | { | 60 | { | ||
46 | "description": "", | 61 | "description": "", | ||
n | 47 | "display_name": "EgoVideos", | n | ||
48 | "id": "5043d798-8afc-4a15-b6b1-28eb09114f81", | ||||
49 | "image_display_url": "", | ||||
50 | "name": "egovideos", | ||||
51 | "title": "EgoVideos" | ||||
52 | }, | ||||
53 | { | ||||
54 | "description": "", | ||||
55 | "display_name": "Egocentric Video", | 62 | "display_name": "Egocentric Video", | ||
56 | "id": "98480106-078c-41c2-8c53-7fcb916094b9", | 63 | "id": "98480106-078c-41c2-8c53-7fcb916094b9", | ||
57 | "image_display_url": "", | 64 | "image_display_url": "", | ||
58 | "name": "egocentric-video", | 65 | "name": "egocentric-video", | ||
59 | "title": "Egocentric Video" | 66 | "title": "Egocentric Video" | ||
n | 60 | }, | n | ||
61 | { | ||||
62 | "description": "", | ||||
63 | "display_name": "Human-computer interaction", | ||||
64 | "id": "36c2df3a-7a5c-4c40-87fd-dd737e4abb30", | ||||
65 | "image_display_url": "", | ||||
66 | "name": "human-computer-interaction", | ||||
67 | "title": "Human-computer interaction" | ||||
68 | }, | ||||
69 | { | ||||
70 | "description": "", | ||||
71 | "display_name": "Object Interaction", | ||||
72 | "id": "b322e602-d089-4ba5-814f-2d7f5192ebd2", | ||||
73 | "image_display_url": "", | ||||
74 | "name": "object-interaction", | ||||
75 | "title": "Object Interaction" | ||||
76 | }, | ||||
77 | { | ||||
78 | "description": "", | ||||
79 | "display_name": "Short-Term Anticipation", | ||||
80 | "id": "99938191-15d9-4683-8d3c-adb241bb96f2", | ||||
81 | "image_display_url": "", | ||||
82 | "name": "short-term-anticipation", | ||||
83 | "title": "Short-Term Anticipation" | ||||
84 | }, | ||||
85 | { | ||||
86 | "description": "", | ||||
87 | "display_name": "State Change Understanding", | ||||
88 | "id": "63224275-348b-49d1-b8d1-579d89afeb3c", | ||||
89 | "image_display_url": "", | ||||
90 | "name": "state-change-understanding", | ||||
91 | "title": "State Change Understanding" | ||||
92 | }, | ||||
93 | { | ||||
94 | "description": "", | ||||
95 | "display_name": "Video Query Localization", | ||||
96 | "id": "95d347aa-2e59-45d1-960e-501b21b531b9", | ||||
97 | "image_display_url": "", | ||||
98 | "name": "video-query-localization", | ||||
99 | "title": "Video Query Localization" | ||||
100 | }, | ||||
101 | { | ||||
102 | "description": "", | ||||
103 | "display_name": "Visual Models", | ||||
104 | "id": "2a9e5ff9-5466-42af-b9d0-4a066c1980d0", | ||||
105 | "image_display_url": "", | ||||
106 | "name": "visual-models", | ||||
107 | "title": "Visual Models" | ||||
108 | } | 67 | } | ||
109 | ], | 68 | ], | ||
110 | "id": "b63d410f-f766-4c92-8e3d-3c48a1c6f628", | 69 | "id": "b63d410f-f766-4c92-8e3d-3c48a1c6f628", | ||
111 | "isopen": false, | 70 | "isopen": false, | ||
n | 112 | "landing_page": "https://ego4d.is.tue.nl/", | n | 71 | "landing_page": "https://github.com/ego4d/ego4d", |
113 | "license_title": null, | 72 | "license_title": null, | ||
114 | "link_orkg": "", | 73 | "link_orkg": "", | ||
115 | "metadata_created": "2024-12-02T17:48:37.794121", | 74 | "metadata_created": "2024-12-02T17:48:37.794121", | ||
n | 116 | "metadata_modified": "2024-12-02T17:48:38.200860", | n | 75 | "metadata_modified": "2024-12-03T07:51:17.550314", |
117 | "name": "ego4d", | 76 | "name": "ego4d", | ||
n | 118 | "notes": "Short-Term object-interaction Anticipation (STA) consists | n | 77 | "notes": "Ego4d is a large-scale egocentric video dataset that |
119 | of detecting the location of the next-active objects, the noun and | 78 | contains 3000 hours of video.", | ||
120 | verb categories of the interaction, and the time to contact from the | ||||
121 | observation of egocentric video.", | ||||
122 | "num_resources": 1, | 79 | "num_resources": 0, | ||
123 | "num_tags": 13, | 80 | "num_tags": 3, | ||
124 | "organization": { | 81 | "organization": { | ||
125 | "approval_status": "approved", | 82 | "approval_status": "approved", | ||
126 | "created": "2024-11-25T12:11:38.292601", | 83 | "created": "2024-11-25T12:11:38.292601", | ||
127 | "description": "", | 84 | "description": "", | ||
128 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 85 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
129 | "image_url": "", | 86 | "image_url": "", | ||
130 | "is_organization": true, | 87 | "is_organization": true, | ||
131 | "name": "no-organization", | 88 | "name": "no-organization", | ||
132 | "state": "active", | 89 | "state": "active", | ||
133 | "title": "No Organization", | 90 | "title": "No Organization", | ||
134 | "type": "organization" | 91 | "type": "organization" | ||
135 | }, | 92 | }, | ||
136 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 93 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
137 | "private": false, | 94 | "private": false, | ||
138 | "relationships_as_object": [], | 95 | "relationships_as_object": [], | ||
139 | "relationships_as_subject": [], | 96 | "relationships_as_subject": [], | ||
n | 140 | "resources": [ | n | 97 | "resources": [], |
141 | { | ||||
142 | "cache_last_updated": null, | ||||
143 | "cache_url": null, | ||||
144 | "created": "2024-12-02T18:38:42", | ||||
145 | "data": [ | ||||
146 | "dcterms:title", | ||||
147 | "dcterms:accessRights", | ||||
148 | "dcterms:creator", | ||||
149 | "dcterms:description", | ||||
150 | "dcterms:issued", | ||||
151 | "dcterms:language", | ||||
152 | "dcterms:identifier", | ||||
153 | "dcat:theme", | ||||
154 | "dcterms:type", | ||||
155 | "dcat:keyword", | ||||
156 | "dcat:landingPage", | ||||
157 | "dcterms:hasVersion", | ||||
158 | "dcterms:format", | ||||
159 | "mls:task", | ||||
160 | "datacite:isDescribedBy" | ||||
161 | ], | ||||
162 | "description": "The json representation of the dataset with its | ||||
163 | distributions based on DCAT.", | ||||
164 | "format": "JSON", | ||||
165 | "hash": "", | ||||
166 | "id": "50d97ab3-7c64-4561-84d7-c8f5996bd116", | ||||
167 | "last_modified": "2024-12-02T17:48:38.191549", | ||||
168 | "metadata_modified": "2024-12-02T17:48:38.203759", | ||||
169 | "mimetype": "application/json", | ||||
170 | "mimetype_inner": null, | ||||
171 | "name": "Original Metadata", | ||||
172 | "package_id": "b63d410f-f766-4c92-8e3d-3c48a1c6f628", | ||||
173 | "position": 0, | ||||
174 | "resource_type": null, | ||||
175 | "size": 1594, | ||||
176 | "state": "active", | ||||
177 | "url": | ||||
178 | resource/50d97ab3-7c64-4561-84d7-c8f5996bd116/download/metadata.json", | ||||
179 | "url_type": "upload" | ||||
180 | } | ||||
181 | ], | ||||
182 | "services_used_list": "", | 98 | "services_used_list": "", | ||
183 | "state": "active", | 99 | "state": "active", | ||
184 | "tags": [ | 100 | "tags": [ | ||
n | 185 | { | n | ||
186 | "display_name": "Action Recognition", | ||||
187 | "id": "400185a4-a218-4ac1-bad5-4e4809af85be", | ||||
188 | "name": "Action Recognition", | ||||
189 | "state": "active", | ||||
190 | "vocabulary_id": null | ||||
191 | }, | ||||
192 | { | ||||
193 | "display_name": "Ego4D", | ||||
194 | "id": "259078c0-3d45-4d97-b41f-37379c8de145", | ||||
195 | "name": "Ego4D", | ||||
196 | "state": "active", | ||||
197 | "vocabulary_id": null | ||||
198 | }, | ||||
199 | { | ||||
200 | "display_name": "EgoVideos", | ||||
201 | "id": "07c6ecc9-162c-45e9-a50d-1723ced699ee", | ||||
202 | "name": "EgoVideos", | ||||
203 | "state": "active", | ||||
204 | "vocabulary_id": null | ||||
205 | }, | ||||
206 | { | ||||
207 | "display_name": "Egocentric Video", | ||||
208 | "id": "a7de3fb9-40c7-4934-aafd-5f5d5ab4aa80", | ||||
209 | "name": "Egocentric Video", | ||||
210 | "state": "active", | ||||
211 | "vocabulary_id": null | ||||
212 | }, | ||||
213 | { | ||||
214 | "display_name": "Short-Term Object Interaction Anticipation", | ||||
215 | "id": "f75767d5-87d6-47f2-8d60-75d245bde5c1", | ||||
216 | "name": "Short-Term Object Interaction Anticipation", | ||||
217 | "state": "active", | ||||
218 | "vocabulary_id": null | ||||
219 | }, | ||||
220 | { | ||||
221 | "display_name": "State Change Understanding", | ||||
222 | "id": "80c0b7b3-745f-4191-8ef3-304fddd1edb2", | ||||
223 | "name": "State Change Understanding", | ||||
224 | "state": "active", | ||||
225 | "vocabulary_id": null | ||||
226 | }, | ||||
227 | { | ||||
228 | "display_name": "Temporal Sentence Grounding", | ||||
229 | "id": "95623ce6-f38d-4d6d-a979-5678db9dc4e7", | ||||
230 | "name": "Temporal Sentence Grounding", | ||||
231 | "state": "active", | ||||
232 | "vocabulary_id": null | ||||
233 | }, | ||||
234 | { | ||||
235 | "display_name": "Video Query Localization", | ||||
236 | "id": "9f9b2e7c-6129-49fc-b412-e808fd75469a", | ||||
237 | "name": "Video Query Localization", | ||||
238 | "state": "active", | ||||
239 | "vocabulary_id": null | ||||
240 | }, | ||||
241 | { | ||||
242 | "display_name": "action localization", | ||||
243 | "id": "bd5bf03e-8cb7-4cea-87d2-8ff81a819236", | ||||
244 | "name": "action localization", | ||||
245 | "state": "active", | ||||
246 | "vocabulary_id": null | ||||
247 | }, | ||||
248 | { | 101 | { | ||
249 | "display_name": "action recognition", | 102 | "display_name": "action recognition", | ||
250 | "id": "9d09d8e4-3662-4925-8bf3-ad6dc3774967", | 103 | "id": "9d09d8e4-3662-4925-8bf3-ad6dc3774967", | ||
251 | "name": "action recognition", | 104 | "name": "action recognition", | ||
252 | "state": "active", | 105 | "state": "active", | ||
253 | "vocabulary_id": null | 106 | "vocabulary_id": null | ||
254 | }, | 107 | }, | ||
255 | { | 108 | { | ||
256 | "display_name": "egocentric video", | 109 | "display_name": "egocentric video", | ||
257 | "id": "9c96cf8a-dc3b-4261-bda6-5dcab44e2252", | 110 | "id": "9c96cf8a-dc3b-4261-bda6-5dcab44e2252", | ||
258 | "name": "egocentric video", | 111 | "name": "egocentric video", | ||
259 | "state": "active", | 112 | "state": "active", | ||
260 | "vocabulary_id": null | 113 | "vocabulary_id": null | ||
261 | }, | 114 | }, | ||
262 | { | 115 | { | ||
n | 263 | "display_name": "human videos", | n | 116 | "display_name": "human activity", |
264 | "id": "93fcad89-22b0-4d27-a1a2-386d65d5a77c", | 117 | "id": "614d8574-3be7-4fd2-8201-8f203fdbc85c", | ||
265 | "name": "human videos", | 118 | "name": "human activity", | ||
266 | "state": "active", | ||||
267 | "vocabulary_id": null | ||||
268 | }, | ||||
269 | { | ||||
270 | "display_name": "visual models", | ||||
271 | "id": "af6eefef-e0b5-41eb-ad84-dbeea4d196e9", | ||||
272 | "name": "visual models", | ||||
273 | "state": "active", | 119 | "state": "active", | ||
274 | "vocabulary_id": null | 120 | "vocabulary_id": null | ||
275 | } | 121 | } | ||
276 | ], | 122 | ], | ||
t | 277 | "title": "Ego4D", | t | 123 | "title": "Ego4d", |
278 | "type": "dataset", | 124 | "type": "dataset", | ||
279 | "version": "" | 125 | "version": "" | ||
280 | } | 126 | } |