CANINI, LUCA
Distribuzione geografica
| Continente | # |
|---|---|
| AS - Asia | 265 |
| NA - Nord America | 264 |
| EU - Europa | 256 |
| AF - Africa | 18 |
| OC - Oceania | 15 |
| SA - Sud America | 12 |
| Totale | 830 |
| Nazione | # |
|---|---|
| US - Stati Uniti d'America | 254 |
| IN - India | 70 |
| CN - Cina | 56 |
| DE - Germania | 52 |
| NL - Olanda | 41 |
| GB - Regno Unito | 32 |
| IT - Italia | 31 |
| FR - Francia | 29 |
| ID - Indonesia | 26 |
| JP - Giappone | 21 |
| SG - Singapore | 18 |
| AU - Australia | 15 |
| HK - Hong Kong | 13 |
| IR - Iran | 13 |
| ZA - Sudafrica | 11 |
| AT - Austria | 9 |
| PT - Portogallo | 8 |
| VN - Vietnam | 8 |
| SE - Svezia | 7 |
| BR - Brasile | 6 |
| IE - Irlanda | 6 |
| PH - Filippine | 6 |
| TR - Turchia | 6 |
| MX - Messico | 5 |
| PS - Palestinian Territory | 5 |
| RO - Romania | 5 |
| CZ - Repubblica Ceca | 4 |
| FI - Finlandia | 4 |
| HR - Croazia | 4 |
| LU - Lussemburgo | 4 |
| MY - Malesia | 4 |
| BD - Bangladesh | 3 |
| CO - Colombia | 3 |
| HU - Ungheria | 3 |
| LT - Lituania | 3 |
| MA - Marocco | 3 |
| PE - Perù | 3 |
| AE - Emirati Arabi Uniti | 2 |
| BG - Bulgaria | 2 |
| BN - Brunei Darussalam | 2 |
| CR - Costa Rica | 2 |
| DZ - Algeria | 2 |
| EG - Egitto | 2 |
| IL - Israele | 2 |
| KR - Corea | 2 |
| MO - Macao, regione amministrativa speciale della Cina | 2 |
| PL - Polonia | 2 |
| TW - Taiwan | 2 |
| UA - Ucraina | 2 |
| BE - Belgio | 1 |
| BZ - Belize | 1 |
| CA - Canada | 1 |
| CH - Svizzera | 1 |
| ES - Italia | 1 |
| GR - Grecia | 1 |
| KZ - Kazakistan | 1 |
| MT - Malta | 1 |
| NO - Norvegia | 1 |
| PK - Pakistan | 1 |
| PR - Porto Rico | 1 |
| QA - Qatar | 1 |
| RS - Serbia | 1 |
| RU - Federazione Russa | 1 |
| SA - Arabia Saudita | 1 |
| Totale | 830 |
| Città | # |
|---|---|
| Ashburn | 58 |
| Bengaluru | 18 |
| Boardman | 13 |
| Mashhad | 13 |
| Milan | 13 |
| Beijing | 12 |
| Chicago | 11 |
| Singapore | 11 |
| Manchester | 9 |
| Los Angeles | 8 |
| Paris | 8 |
| Tokyo | 8 |
| Council Bluffs | 7 |
| Hangzhou | 7 |
| Nürnberg | 7 |
| Dublin | 6 |
| Jakarta | 6 |
| Naaldwijk | 6 |
| Pretoria | 6 |
| Shijiazhuang | 6 |
| Stockholm | 6 |
| Amsterdam | 5 |
| Enschede | 5 |
| Frankfurt am Main | 5 |
| Haaksbergen | 5 |
| Kastamonu | 5 |
| Kowloon | 5 |
| Makati City | 5 |
| Osaka | 5 |
| Seattle | 5 |
| Vienna | 5 |
| Amara | 4 |
| Brooklyn | 4 |
| Hillsboro | 4 |
| Lisbon | 4 |
| Melbourne | 4 |
| New York | 4 |
| Pacific Palisades | 4 |
| Surabaya | 4 |
| Wilmington | 4 |
| Woodbridge | 4 |
| Bristol | 3 |
| Bronxville | 3 |
| Budapest | 3 |
| Buffalo | 3 |
| Central | 3 |
| Columbia | 3 |
| Dallas | 3 |
| Denekamp | 3 |
| Dhaka | 3 |
| Dong Ket | 3 |
| Dornbirn | 3 |
| Helsinki | 3 |
| Lima | 3 |
| Luxembourg | 3 |
| Monmouth | 3 |
| Otemae | 3 |
| Rotterdam | 3 |
| San Diego | 3 |
| Shanghai | 3 |
| Sydney | 3 |
| São Paulo | 3 |
| Utrecht | 3 |
| Vilnius | 3 |
| Wakefield | 3 |
| Acapulco de Juárez | 2 |
| Almada | 2 |
| Amherst | 2 |
| Banyumas | 2 |
| Benoni | 2 |
| Bogotá | 2 |
| Bolsward | 2 |
| Brisbane | 2 |
| Cairo | 2 |
| Cambridge | 2 |
| Can Tho | 2 |
| Cedar Park | 2 |
| Cyberjaya | 2 |
| Darmstadt | 2 |
| Delft | 2 |
| Duluth | 2 |
| Engelhard | 2 |
| Firenzuola | 2 |
| Fremont | 2 |
| Galesburg | 2 |
| Grenoble | 2 |
| Halle | 2 |
| Ho Chi Minh City | 2 |
| Houston | 2 |
| Jember | 2 |
| Jiaxing | 2 |
| Kastav | 2 |
| Kuala Lumpur | 2 |
| Köln | 2 |
| London | 2 |
| Lucknow | 2 |
| Macao | 2 |
| McKinleyville | 2 |
| Medan | 2 |
| Modena | 2 |
| Totale | 471 |
| Nome | # |
|---|---|
| Affective Analysis on Patterns of Shot Types in Movies, file ddc633e2-bd3e-4e2e-e053-3705fe0a4c80 | 288 |
| A Connotative Space for Supporting Movie Affective Recommendation, file ddc633e3-0ff7-4e2e-e053-3705fe0a4c80 | 133 |
| Emotional Identity of Movies, file ddc633e3-0e7d-4e2e-e053-3705fe0a4c80 | 112 |
| Affective Recommendation of Movies Based on Selected Connotative Features, file ddc633e3-0c9b-4e2e-e053-3705fe0a4c80 | 93 |
| Classifying Cinematographic Shot Types, file ddc633e3-1151-4e2e-e053-3705fe0a4c80 | 80 |
| Users' Response to Affective Film Content: a Narrative Perspective, file ddc633e3-0d3f-4e2e-e053-3705fe0a4c80 | 64 |
| Multimodal Space for Rushes Representation and Retrieval, file ddc633e3-1597-4e2e-e053-3705fe0a4c80 | 48 |
| Interactive Video Mashup Based on Emotional Identity, file ddc633e2-ae7e-4e2e-e053-3705fe0a4c80 | 15 |
| Estimating Cinematographic Scene Depth in Movie Shots, file ddc633e2-aece-4e2e-e053-3705fe0a4c80 | 1 |
| Totale | 834 |
| Categoria | # |
|---|---|
| all - tutte | 2.905 |
| article - articoli | 0 |
| book - libri | 0 |
| conference - conferenze | 0 |
| curatela - curatele | 0 |
| other - altro | 0 |
| patent - brevetti | 0 |
| selected - selezionate | 0 |
| volume - volumi | 0 |
| Totale | 2.905 |
| Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018/2019 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 2019/2020 | 22 | 2 | 6 | 4 | 1 | 0 | 1 | 0 | 1 | 3 | 2 | 1 | 1 |
| 2020/2021 | 30 | 2 | 1 | 7 | 1 | 6 | 2 | 2 | 2 | 0 | 2 | 2 | 3 |
| 2021/2022 | 58 | 3 | 1 | 1 | 1 | 1 | 0 | 4 | 4 | 2 | 2 | 17 | 22 |
| 2022/2023 | 308 | 17 | 6 | 10 | 31 | 16 | 27 | 19 | 19 | 28 | 59 | 43 | 33 |
| 2023/2024 | 352 | 18 | 34 | 40 | 36 | 36 | 39 | 33 | 25 | 52 | 39 | 0 | 0 |
| Totale | 834 | ||||||||||||