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UPC at MediaEval 2014 Social Event Detection Task

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UPC @ MediaEval 2014 Social Event Detection (Task 1) Daniel Manchón-Vizuete Irene Gris-Sarabia Xavier Giró-i-Nieto Barcelona, Catalonia 16th October 2014
Related work PhotoTOC [Platt et al, PACRIM 2003]
Approach:(a) Temporal sorting by each user independently Hi, I’m John. Hi, I’m Emily.
PhotoTOC [Platt et al, PacRim 2003] (b) Temporal-based oversegmentation in mini-clustersApproach:
NEW!!(c) Mini-cluster representation (only text)Approach: title: Darklord Dubload Project tags:[ eras, lessnesses, los angeles, pehrspace, fantastic] title: Lessnesses!! tags:[ eras, lessnesses, los angeles, pehrspace, snorlax, marvellous ] title: Snorlax tags: [ lessnesses, los angeleeees, pehrspace]
NEW!!(c) GPS reverse geocodingApproach: gps: 34.0663, -118.26 gps = "" gps: 34.0, -118.0 Reverse geocoding gps=[333, Laveta, Terrace, Los, Angeles, CA, 90026, EE. UU.] gps=[] gps=[ Los, Angeles, CA, 90026, EE. UU.]
NEW!!(c) Hypernyms enrichmentApproach: tags:[ eras, lessnesses, los angeles, pehrspace, fantastic] tags:[ eras, lessnesses, los angeles, pehrspace, snorlax, marvellous ] tags: [ lessnesses, los angeles, pehrspace, rock] Hypernyms tags:[ eras, lessnesses, los angeles, pehrspace, fantastic, great,marvellous] tags:[ eras, lessnesses, los angeles, pehrspace, snorlax, marvellous, great,fantastic] tags: [ lessnesses, los angeles, pehrspace, rock, music, band]
Approach (c) Mini-cluster representation tags:[ eras, lessnesses, los angeles, pehrspace, fantastic, Darklord, Dubload Project , 333, Laveta, Terrace, Los, Angeles, CA, 90026, EE. UU., great,marvellous] tags:[ eras, lessnesses, los angeles, pehrspace, snorlax, marvellous,Lessnesses!!, Snorlax,essnesses, los angeles, pehrspace,great, fantastic,music, band,Los, Angeles, CA, 90026, EE. UU.] Hypernyms Titles GPS reverse geocoding
Approach t (d) TF-IDF and cosine distance d>γ1 d>γ2 N1 N2N1 ... ... NEW!! Near neighbours (N1) Distant neighbours (N2)
Resulting clusters
Results F1=0.883 F1=0.924 2013 2014
Future work ● Enrichment with visual features ● Image to text with deep learning tecniques ● Caffe library pre-trained for Imagenet
Conclusions ● Fast solution due to time-sequential nature. ● Geolocation and hypermyns doesnt improve result ● Divide and conquer. Thank you MediaEval SED !

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UPC at MediaEval 2014 Social Event Detection Task

  • 1. UPC @ MediaEval 2014 Social Event Detection (Task 1) Daniel Manchón-Vizuete Irene Gris-Sarabia Xavier Giró-i-Nieto Barcelona, Catalonia 16th October 2014
  • 3. Approach:(a) Temporal sorting by each user independently Hi, I’m John. Hi, I’m Emily.
  • 4. PhotoTOC [Platt et al, PacRim 2003] (b) Temporal-based oversegmentation in mini-clustersApproach:
  • 5. NEW!!(c) Mini-cluster representation (only text)Approach: title: Darklord Dubload Project tags:[ eras, lessnesses, los angeles, pehrspace, fantastic] title: Lessnesses!! tags:[ eras, lessnesses, los angeles, pehrspace, snorlax, marvellous ] title: Snorlax tags: [ lessnesses, los angeleeees, pehrspace]
  • 6. NEW!!(c) GPS reverse geocodingApproach: gps: 34.0663, -118.26 gps = "" gps: 34.0, -118.0 Reverse geocoding gps=[333, Laveta, Terrace, Los, Angeles, CA, 90026, EE. UU.] gps=[] gps=[ Los, Angeles, CA, 90026, EE. UU.]
  • 7. NEW!!(c) Hypernyms enrichmentApproach: tags:[ eras, lessnesses, los angeles, pehrspace, fantastic] tags:[ eras, lessnesses, los angeles, pehrspace, snorlax, marvellous ] tags: [ lessnesses, los angeles, pehrspace, rock] Hypernyms tags:[ eras, lessnesses, los angeles, pehrspace, fantastic, great,marvellous] tags:[ eras, lessnesses, los angeles, pehrspace, snorlax, marvellous, great,fantastic] tags: [ lessnesses, los angeles, pehrspace, rock, music, band]
  • 8. Approach (c) Mini-cluster representation tags:[ eras, lessnesses, los angeles, pehrspace, fantastic, Darklord, Dubload Project , 333, Laveta, Terrace, Los, Angeles, CA, 90026, EE. UU., great,marvellous] tags:[ eras, lessnesses, los angeles, pehrspace, snorlax, marvellous,Lessnesses!!, Snorlax,essnesses, los angeles, pehrspace,great, fantastic,music, band,Los, Angeles, CA, 90026, EE. UU.] Hypernyms Titles GPS reverse geocoding
  • 9. Approach t (d) TF-IDF and cosine distance d>γ1 d>γ2 N1 N2N1 ... ... NEW!! Near neighbours (N1) Distant neighbours (N2)
  • 12. Future work ● Enrichment with visual features ● Image to text with deep learning tecniques ● Caffe library pre-trained for Imagenet
  • 13. Conclusions ● Fast solution due to time-sequential nature. ● Geolocation and hypermyns doesnt improve result ● Divide and conquer. Thank you MediaEval SED !