Scene Text Detection and Recognition: The Deep Learning Era

Transcript

1. Scene Text Detection and Recognition:
 The Deep Learning Era 4IBOHCBOH
   -POH
   9JO
   )F
   $POH
   :BP !ZVTUPSJT
   PO
   BS9JW5JNFT
   
2. ֓ཁ w ৘ܠจࣈೝࣝ 4DFOF
   5FYU
   3FDPHOJUJPO ʹ͓͚Δ
 ਂ૚ֶशϕʔεͷख๏ʹର͢ΔαʔϕΠ
   w ྺ࢙ΛৼΓฦΓͭͭख๏ͷτϨϯυ͔Βσʔληοτ·Ͱɺ
 แׅతʹѻ͍ͬͯΔ
3. 1. Introduction +
 2. Methodology Before the Deep Learning Era
4. w ଟ༷ੑ
 ݴޠɾܗ ࣈମɾࣈܗɾॻܗ ɾํ޲ɾ৭ɾॎԣൺ͕ଟ༷
   w എܠͷଘࡏ
 എܠͷܗঢ়͕จࣈͱۃ୺ʹࣅ͍ͯΔ৔߹ɺѱӨڹ͕େ͖͍
   w ը࣭ͷӨڹ
 ը࣭͕ѱ͍ͱจࣈ෦෼ͷ௵Ε΍ᕷΈ͕େ͖͘ͳΓɺѱӨڹ͕େ͖͍ ৘ܠจࣈೝࣝͷ೉͠͞ <>
   IUUQTXXXNPSJTBXBDPKQDVMUVSFEJDUJPOBSZΑΓൈਮ <>
5. ਂ૚ֶशҎલͷ৘ܠจࣈೝࣝ w ಛ௃ྔநग़
 ˠ
   จࣈ୯ҐͰͷநग़
 ˠ
   ߦݕग़
 ˠ
   ຋ࣈ
   w ༷ʑͳϞσϧΛ૊Έ߹ΘͤͨQJQMJOF ࿦จ
   'JH
   
6. 3. Methodology in the Deep Learning Era
7. ख๏ͷτϨϯυ w 
   4UFQT
 ݕग़ %FUFDUJPO
   
   ೝࣝ 3FDPHOJUJPO ͷஈ֊
   w %FUFDUJPOʜจࣈྖҬͷநग़
   w 3FDPHOJUJPOʜநग़ͨ͠จࣈྖҬʹؚ·ΕΔ಺༰ͷ຋ࣈ 5SBOTDSJQUJPO
   w &OEUPFOE
 %FUFDUJPOͱ3FDPHOJUJPOΛҰؾ௨؏Ͱߦ͏ ࿦จ
   'JH
   
8. ख๏ͷτϨϯυछผ ࿦จ
   'JH
   
9. ख๏ͷτϨϯυछผ ࿦จ
   'JH
    %FUFDUJPO͸
 Ұൠ෺ମݕग़ͷख๏Λجຊͱ͠ɺ
 จࣈྖҬʹ͋Γ͕ͪͳಛ௃ FH
   ํ޲ɾΞεϖΫτͷଟ༷ੑ ʹ߹Θ֦ͤͯு
10. ख๏ͷτϨϯυछผ ࿦จ
    'JH
     3FDPHOJUJPO͸
 $POOFDUJPOJTU
    5FNQPSBM
    $MBTTJpDBUJPO
    $5$ ͱ"UUFOUJPOͷڧ
11. ख๏ͷτϨϯυछผ ࿦จ
    'JH
     &OEUP&OE͸
 %FUFDUJPOͱ3FDPHOJUJPOͷ྆ϞσϧΛ݁߹
12. ख๏ͷτϨϯυछผ ࿦จ
    'JH
     पลٕज़
    "VYJMJBSZ
    5FDIOPMPHJFT ͷϝΠϯ͸
    w ਓ޻σʔλͷੜ੒
    w จࣈɾ୯ޠྖҬͷΞϊςʔγϣϯͷ൒ڭࢣ͋Γֶश
13. 3.1 Detection
14. ֓ཁ w Ұൠ෺ମݕग़༻ͷϞσϧΛ֦ு͢Δͷ͕جຊ
 େ͖͘"ODIPSCBTFEͱ3FHJPO
    QSPQPTBMʹ෼ྨͰ͖Δ
    w ݕग़ཻ౓͸େ͖͘ύλʔϯ
     ςΩετશମΛ#PVOEJOH
    #PY
    ##
    Ͱݕग़
     ΑΓࡉ͔͍୯ҐͰ ୯ޠͳͲͰ ݕग़͠ɺޙͰ݁߹ 4FH-JOL
    <4J
    >
    ࿦จͷը૾͔Β
 ൈਮɾҰ෦Ճ޻
15. ྖҬݕग़ͷجຊํ਑ w "ODIPSCBTFE
    w ೖྗը૾Λݻఆͷ(SJEʹ෼ׂ͠ɺ֤(SJEதͷ఺Λத৺ͱ͢Δ##
    "ODIPS Λෳ਺ਪఆ
 ##ީิ͸ݻఆΞεϖΫτΛ࠾༻
    w :0-0
    <3FENPO
    >
    ΍44%
    <-JV
    >
    ͳͲ͕ϕʔεϞσϧ
    w 3FHJPO
    QSPQPTBM
    w ೖྗը૾ʹରͯ͠ɺಛ௃ྔͳͲ͔ΒจࣈྖҬީิ 3FHJPO
    QSPQPTBM Λਪఆ͠ɺ
 ͦΕͧΕͷީิʹରͯ͠จࣈྖҬ͔Ͳ͏͔Λ൑ఆ
    w 3$//
    <(JSTIJDL
    >
    ͳͲ͕ϕʔεϞσϧ χϡʔϥϧωοτϫʔΫͰྖҬݕग़
    ˠ
    ޙॲཧ
16. "ODIPSCBTFE (SJE #PVOEJOH
    #PY
    ## 
 ͜͜Ͱ͸ͭ ޙஈʹߦ͘΄Ͳ(SJE෼ׂ਺͕ݮΓɺ
 "ODIPS͕େ͖͘ͳΔ
    
    ##ݕग़ཻ౓Λௐ੔ QPPMJOHͰ##৘ใΛಘΔ ଛࣦ͸ɺਪఆ##ͱਖ਼ղ##ͱͷҐஔޡࠩͱΫϥε֬৴౓ͷࠩ෼ ྫ
    5FYU#PYFT
    <-JP
    >

    
    
    
    44%ϕʔε :0-0
    ࿦จͷը૾͔Β
 ൈਮɾҰ෦Ճ޻
17. 3FHJPO
    1SPQPTBM 'BTUFS
    3$//ʹՃ͑ͯɺ3FHJPO
    QSPQPTBMநग़ͷࡍɺ3FHJPOͷճసΛߟྀ͍ͯ͠Δ 3FHJPO
    QSPQPTBM
    Λநग़ ྫ
    <.B
    >

    
    
    
    
    'BTUFS
    3$//ϕʔε എܠ͔จࣈྖҬ͔ͷ෼ྨ
18. 5FYUTQFDJpD
    .FUIPET w ςΩετશମΛճͰݕग़ͤͣɺখ୯ҐͰݕग़ͨ͠ޙʹ݁߹
    w จࣈྖҬ͸Ұൠ෺ମΑΓํ޲ͳͲ͕༷ʑͳͨΊɺ
 ͭͷ##Λ͍͖ͳΓݕग़͢Δͷ͸ෆద੾ͳ৔߹͕͋Δ
    w ୯Ґ͸จࣈྖҬͷখ෦෼ $PNQPOFOUT ͱϐΫηϧ 1JYFM ͕͋Δ
19. $PNQPOFOUT
    -FWFM 4FH-JOL
    ࿦จ
    'JHVSF
     ྫ
    4FH-JOL
20. 1JYFM
    -FWFM 1JYFM-JOL
    ࿦จ
    'JHVSF
     1JYFM-JOL
    ࿦จ
    'JHVSF
     ྫ
    1JYFM-JOL
    <%FOH
    > w ֤ϐΫηϧͰɺྡ઀͢ΔͭͷϐΫηϧ͕
 ಉ͡จࣈྖҬʹଐ͢Δ͔Λ൑ఆ
    w ࣄલͷ##ਪఆ͕͍Βͣɺۙ઀͢ΔจࣈྖҬ΋औΓ΍͍͢
21. 4QFDJpD
    5BSHFUT w ؃൘ͳͲʹ͋Γ͕ͪͳɺۃ୺ͳΞεϖΫτൺɾ࿪Έɾ࿷ۂɾಛघϑΥϯτ ΁ͷରԠ͕ϝΠϯ
    w ྫ͑͹ɺจࣈͷ࿷ۂʹରͯ͠͸
    5FYU4OBLF
    <-POH
    >
    ͕##୯ҐͰͳ͘ԁΛ ϕʔεͱͨ͠ྖҬநग़ΛࢼΈ͍ͯΔ
22. 3.2 Recognition
23. ֓ཁ w %FUFDUJPOͰநग़ͨ͠จࣈྖҬʹରͯ͠຋ࣈΛߦ͏
    w 3//ϕʔεͷख๏͕΄ͱΜͲͰɺͦͷதͰ΋
 $5$
    $POOFDUJPOJTU
    5FNQPSBM
    $MBTTJpDBUJPO ͱ"UUFOUJPO͕
 ଟ͘ར༻͞Ε͍ͯΔ
24. $5$
    <(SBWFT
    > w @ ۭന ΛؚΊͨจࣈ୯ҐͰͷੜ੒֬཰ΛٻΊΔͨΊͷଛࣦؔ਺
    w ೖྗͱग़ྗͷBMJHONFOU΋ಉ࣌ʹߦ͑ΔͨΊɺ
 ೖྗ௕ͱग़ྗ௕ͷҧ͍Λߟ͑ͳͯ͘Α͍ HHHH_eell_lloo_ Hello ೖྗ௕ ग़ྗ௕
25. $3//
    <4IJ
    > w ಛ௃ϕΫτϧΛೖྗͱͨ͠
 CJ-45. $5$Ͱ຋ࣈΛߦ͏
    w 3$//ͱ໊લ͕ࠞಉͦ͠͏ʜʜ $5$Λར༻ ಛ௃ϕΫτϧΛ-45.ͷ લஈͰநग़ ʨ
26. "UUFOUJPO w ػց຋༁ʹ͓͚Δ"UUFOUJPO
    <#BIEBOBV
    
    -VPOH
    > Λԉ༻
    w ೖྗը૾ʹରͯ͠લஈͰ৞ΈࠐΈͳͲʹΑΓ
 %FDPEFS΁ͷೖྗͱͳΔಛ௃ϕΫτϧΛநग़͓ͯ͘͠
 <"SCJUSBSJMZPSJFOUFE
    UFYU
    SFDPHOJUJPO
    $IFOH
    >
    w %FDPEFS΁ͷิॿೖྗͱͯ͠ɺจࣈ୯Ґͷ##Λ
 ༩͑ΔͳͲͷ޻෉͕औΒΕΔ৔߹΋͋Δ
 <'PDVTJOH
    BUUFOUJPO
    5PXBSET
    BDDVSBUF
    UFYU
    SFDPHOJUJPO
    JO
    OBUVSBM
    JNBHFT
    $IFOH
    > ೖྗͷಛ௃ϕΫτϧ ࿦จ
    'JH
    
27. 3.3 End-to-end System
28. ֓ཁ w %FUFDUJPOͱ3FDPHOJUJPOͷϞσϧΛͦͷ··݁߹͢Δ
 %FUFDUJPOϞσϧͰݕग़ͨ͠จࣈྖҬ͕3FDPHOJUJPOϞσϧͷೖྗͱͳΔ
 
 
 w 3FDPHOJUJPOʹ͸ಛ௃Ϛοϓ͚ͩ౉͢Α͏ʹ͢Δ ࿦จ
    'JH
    
    4&&<#BSU[
    >
    ͳͲ ࿦จ
    'JH
    
29. 3.4 Auxiliary Technologies
30. "VYJMJBSZ
    5FDIOPMPHJFT w ਓ޻σʔλͷੜ੒
    4ZOUIFUJD
    %BUB
    w ΄ͱΜͲͷਓखͰΞϊςʔγϣϯ͞Εͨσʔλͷن໛͸਺ઍఔ౓
    w എܠը૾ʹରͯ͠ɺΑΓࣗવʹจࣈྖҬΛॏͶΔ͜ͱΛ໨ඪͱ͢Δ
    w ϒʔτετϥοϐϯά
    #PPUTUSBQQJOH
    w ൒ڭࢣ͋ΓֶशʹΑΔΞϊςʔγϣϯίετͷܰݮ
    w গྔͷΞϊςʔγϣϯʹΑΓֶशͨ͠ϞσϧͰྖҬநग़
 ˠείΞͰ଍੾Γˠநग़ͨ͠ྖҬΛڭࢣͱͯ͠࠶౓ֶशˠʜɹͷ܁Γฦ͠
31. 4.1 Benchmark Datasets
32. #FODINBSL
    %BUBTFU w 4ZOUIFUJD
    %BUB
    w #PPUTUSBQQJOH
33. #FODINBSL
    %BUBTFU w 4ZOUIFUJD
    %BUB
    w #PPUTUSBQQJOH
34. Performance on Dataset (Detection)
35. Performance on Dataset (Recognition) &SSBUBʹΑΔͱͱΒ͍͠
36. Performance on Dataset (End-to-End) w8PSE
    4QPUUJOH
 ର৅ͱͳΔޠኮͷ຋ࣈੑೳ
    w&OEUP&OE
 ର৅ޠኮҎ֎ͷจશମͷ຋ࣈੑೳ
37. 6. Conclusion
38. 4UBUVT
    2VP
    BOE
    'VUVSF
    5SFOET w σʔληοτ΍Ϟσϧͷଟ༷ੑʹର͢Δؤ݈ੑ
    w ۂ͕ͬͨ DVSWFE จࣈͳͲɺಛघͳέʔεΛؚΉσʔληοτ͸গͳ͍
    w Ϟσϧ΋σʔληοτͷΈʹ࠷దԽͨ͠ධՁ͕ଟ͍
    w ଟݴޠରԠ
 Ϟσϧ΋σʔληοτ΋ෳ਺ݴޠΛಉ࣌ʹѻ͏͜ͱΛ૝ఆ͍ͯ͠ͳ͍
    w ߴ଎Խ
 ਓ͕ؒͻͱ໨ݟͯจࣈΛೝࣝͰ͖Δͷʹରͯ͠ɺ·ͩ·ͩ஗͍
 '14తʹ͸ఔ౓্͕ݶ