< Return to Video

Every piece of art you've ever wanted to see -- up close and searchable

  • 0:01 - 0:05
    The world is filled with
    incredible objects
  • 0:05 - 0:07
    and rich cultural heritage.
  • 0:07 - 0:10
    And when we get access to them,
  • 0:10 - 0:13
    we are blown away, we fall in love.
  • 0:13 - 0:14
    But most of the time,
  • 0:14 - 0:20
    the world's population is living
    without real access to arts and culture.
  • 0:20 - 0:22
    What might the connections be
  • 0:22 - 0:26
    when we start exploring our heritage,
  • 0:26 - 0:30
    the beautiful locations
    and the art in this world.
  • 0:30 - 0:33
    Before we get started
    in this presentation,
  • 0:33 - 0:36
    I just want to take care
    of a few housekeeping points.
  • 0:36 - 0:39
    First, I am no expert in art or culture.
  • 0:39 - 0:43
    I fell into this by mistake,
    but I'm loving it.
  • 0:43 - 0:46
    Secondly, all of what I'm going
    to show you
  • 0:46 - 0:50
    belongs to the amazing museum's
    archives and foundations
  • 0:50 - 0:51
    that we partner with.
  • 0:51 - 0:53
    None of this belongs to Google.
  • 0:53 - 0:57
    And finally, what you see
    behind me
  • 0:57 - 1:00
    is available right now
    on your mobile phones,
  • 1:00 - 1:01
    on your laptops.
  • 1:01 - 1:04
    This is a current platform
    where you can explore
  • 1:04 - 1:07
    thousands of museums
    and objects at your finger tips
  • 1:07 - 1:10
    in extremely high definition detail.
  • 1:10 - 1:13
    The diversity fo the content is what's
    amazing.
  • 1:13 - 1:15
    If we just had European paintings,
  • 1:15 - 1:17
    if we just had modern art,
  • 1:17 - 1:18
    I think it gets a bit boring.
  • 1:18 - 1:22
    For example, we, this month,
    launched the Black History channel
  • 1:22 - 1:25
    with 82 curated exhibitions,
  • 1:25 - 1:29
    which talk about arts and culture
    in that community.
  • 1:29 - 1:32
    We also have some amazing objects
    from Japan
  • 1:32 - 1:36
    around craftsmanship in Japan
    called "Made in Japan".
  • 1:36 - 1:39
    And one of my favorite exhibitions,
  • 1:39 - 1:42
    which actually is the idea
    of my talk,
  • 1:42 - 1:46
    is I didn't expect to become
    a fan of Japanese dolls.
  • 1:46 - 1:47
    But, I am.
  • 1:47 - 1:51
    And thanks to this exhibition
    that has really taught me
  • 1:51 - 1:55
    what is the craftsmanship
    behind the soul of a Japanese doll.
  • 1:55 - 1:57
    Trust me, it's very exciting.
  • 1:57 - 1:58
    Take my word for it.
  • 1:58 - 2:00
    So, moving on swiftly,
  • 2:00 - 2:03
    one quick thing I wanted to showcase
    in this platform,
  • 2:03 - 2:05
    which you can share with
    your kids and your friends right now,
  • 2:05 - 2:10
    is you can travel to all these
    amazing institutions virtually as well.
  • 2:10 - 2:14
    So one of our recent ideas was with
    The Guggenheim Museum in New York
  • 2:14 - 2:17
    where you can actually get a taste
    of what it might feel like
  • 2:17 - 2:18
    to actually be there.
  • 2:18 - 2:20
    You can actually go to the ground floor
  • 2:20 - 2:22
    and obviously, most of you, I assume,
    have been there.
  • 2:27 - 2:27
    And you can see the architectural
    masterpiece that it is.
  • 2:28 - 2:29
    But imagine this accesibility
    for a kid in Bombay
  • 2:29 - 2:30
    who's studying architecture,
  • 2:30 - 2:34
    who hasn't had a chance
    to go to The Guggenheim as yet.
  • 2:34 - 2:34
    You can obviously look at objects
    in the Guggenheim Museum,
  • 2:35 - 2:40
    you can obviously get in to them
    and so on and so forth.
  • 2:40 - 2:41
    There's a lot of information here.
  • 2:41 - 2:46
    But this is not the purpose
    of my talk today.
  • 2:46 - 2:48
    This exists right now.
  • 2:48 - 2:50
    What we now have are
    the building blocks
  • 2:50 - 2:52
    to a very exciting future
  • 2:52 - 2:53
    when it comes to arts and culture
  • 2:53 - 2:56
    and accessibility to arts and culture.
  • 2:56 - 3:00
    So I am joined today on stage
    by my good friend and artist in residence
  • 3:00 - 3:03
    at our office in Paris, ?
  • 3:03 - 3:05
    who is the professor of interactive design
  • 3:05 - 3:08
    at Ecal University in
    Lausanne, Switzerland.
  • 3:08 - 3:10
    What ? and our team of engineers
    have been doing
  • 3:10 - 3:13
    is trying to find these connections
    and visualize a few of these.
  • 3:13 - 3:15
    So I'm going to go quite quick now.
  • 3:15 - 3:19
    Just clarification:
  • 3:19 - 3:21
    Always, seeing the real thing
    is better.
  • 3:21 - 3:23
    In case people try to think
    I'm replicating the real thing.
  • 3:23 - 3:25
    So moving on,
  • 3:25 - 3:27
    this object you see behind me
  • 3:27 - 3:29
    is the Venus of Berekhat Ram.
  • 3:29 - 3:31
    It's one of the oldest objects
    in the world,
  • 3:31 - 3:33
    around 233,000 years ago
  • 3:33 - 3:35
    found in the Golan Heights
  • 3:35 - 3:37
    and currently residing in
    the Israel Museum in Jerusalem.
  • 3:37 - 3:41
    It is also one of the oldest objects
    on our platform.
  • 3:41 - 3:42
    So let's zoom.
  • 3:42 - 3:44
    We start from this one object.
  • 3:44 - 3:47
    And what if we zoomed out
  • 3:47 - 3:52
    and actually tried to experience
    our own cultural big bang.
  • 3:52 - 3:54
    What might that look like?
  • 3:54 - 3:56
    This is what we deal with
    on a daily basis
  • 3:56 - 3:57
    at The Cultural Institute.
  • 3:57 - 4:02
    Over 6 million cultural artifacts
    curated and given to us by institutions
  • 4:02 - 4:04
    to actually make these connections.
  • 4:04 - 4:06
    You can travel through time,
  • 4:06 - 4:09
    you can understand more
    about our society through these.
  • 4:09 - 4:14
    You can obviously look at it
    from the perspective of our planet
  • 4:14 - 4:16
    and try to see how it might look
    without borders
  • 4:16 - 4:19
    if we just organized art and culture.
  • 4:19 - 4:21
    We can also, then, plot it by time,
  • 4:21 - 4:25
    which obviously, for the data geek
    in me is very fascinating.
  • 4:25 - 4:29
    And you can spend hours looking
    at every decade
  • 4:29 - 4:32
    and the contributions
    in that decade and in those years
  • 4:32 - 4:35
    for art history and cultures.
  • 4:35 - 4:38
    We would love to spend hours
    showing you each and every decade,
  • 4:38 - 4:40
    but we don't have the time right now.
  • 4:40 - 4:42
    So you can go on your phone
    and actually do it yourseld.
  • 4:42 - 4:46
    (Applause)
  • 4:46 - 4:48
    But if you don't mind,
  • 4:48 - 4:50
    and you can hold your applause
    'till later,
  • 4:50 - 4:51
    I don't want to run out of time
  • 4:51 - 4:53
    because I want to show you
    a lot of really cool stuff.
  • 4:53 - 4:54
    (Laughter)
  • 4:54 - 4:55
    So just very quickly,
  • 4:55 - 4:56
    you can move on from here
  • 4:56 - 4:59
    to another very interesting idea.
  • 4:59 - 5:01
    Beyond the pretty picture,
  • 5:01 - 5:03
    beyond the nice visualization,
  • 5:03 - 5:05
    what is the purpose, how is this useful?
  • 5:05 - 5:09
    This next idea comes from
    discussions with curators
  • 5:09 - 5:11
    that we've been having with museums,
  • 5:11 - 5:13
    who, by the way, I've fallen in love with
  • 5:13 - 5:16
    because they get their whole life
    to actually try to tell these stories.
  • 5:16 - 5:18
    And one of the curators told me,
  • 5:18 - 5:20
    "Amit, what would it be like
  • 5:20 - 5:22
    if you could create
    a virtual curator's table
  • 5:22 - 5:24
    where all these 6 million objects
  • 5:24 - 5:29
    are displayed in a way for us
    to look at the connections between them.
  • 5:29 - 5:30
    And let's start --
  • 5:30 - 5:33
    you can spend a lot of time,
    trust me, looking at different objects
  • 5:33 - 5:35
    and understanding where they come from,
  • 5:35 - 5:37
    it's a crazy matric experience.
  • 5:37 - 5:39
    Just moving on,
  • 5:39 - 5:42
    let's take the world-famous
    Vincent Van Gogh
  • 5:42 - 5:46
    who is very well represented
    on this platform.
  • 5:46 - 5:50
    Thanks to the diversity
    of the institutions we have,
  • 5:50 - 5:55
    we have over 211 high-definition,
    amazing artworks by this artist
  • 5:55 - 5:59
    now organized in one
    beautiful view.
  • 5:59 - 6:00
    And as it ?
  • 6:00 - 6:02
    and as the seril goes deeper
  • 6:02 - 6:04
    you can see all the self-portraits,
  • 6:04 - 6:06
    you can see still life.
  • 6:06 - 6:08
    But I just wanted to highlight
    one very quick example
  • 6:08 - 6:10
    which is very timely:
  • 6:10 - 6:11
    The Bedroom.
  • 6:11 - 6:13
    This is an artwork where
    three copies exist.
  • 6:13 - 6:16
    One at the Van Gogh Museum
    in Amsterdam,
  • 6:16 - 6:18
    one at the d'Orsay in Paris,
  • 6:18 - 6:19
    and one at the Art Institute
    in Chicago,
  • 6:19 - 6:22
    which actually is currently hosting
    a reunion
  • 6:22 - 6:24
    of all three artworks physically,
  • 6:24 - 6:26
    I think only for the second time ever.
  • 6:26 - 6:31
    But, it is united digitally and virtually
    for anybody to look at
  • 6:31 - 6:33
    in a very different way,
  • 6:33 - 6:36
    and you won't get pushed
    in the line in the crowd.
  • 6:36 - 6:40
    So let's take you and let's travel
    through the bedroom
  • 6:40 - 6:42
    very quickly so you can
    experience
  • 6:42 - 6:44
    what we are doing for
    every single object.
  • 6:44 - 6:48
    We want the image to speak
    as much as it can
  • 6:48 - 6:50
    on a digital platform.
  • 6:50 - 6:52
    And all you need is
    an internet connection and a computer
  • 6:52 - 6:57
    (Applause)
  • 6:57 - 7:00
    And Seril, if you can go deeper, quickly.
  • 7:00 - 7:01
    I'm sorry, this is all live,
  • 7:01 - 7:05
    so you have to give Seril
    a little bit of --
  • 7:05 - 7:07
    and this is available for every object:
  • 7:07 - 7:09
    modern art, contemporary art,
    renaissance -- you name it,
  • 7:09 - 7:11
    even sculpture.
  • 7:11 - 7:15
    Sometimes, you don't know
    what can attract you
  • 7:15 - 7:21
    to an artwork or to a museum
    or to a cultural discovery.
  • 7:21 - 7:23
    So for me personally,
  • 7:23 - 7:24
    it was quite a challenge
  • 7:24 - 7:27
    because when I to make this
    my full-time job at Google,
  • 7:27 - 7:30
    my mother was not very supportive.
  • 7:30 - 7:31
    I love my mother,
  • 7:31 - 7:34
    but she thought I was wasting my life
    with this museum stuff.
  • 7:34 - 7:37
    And for her, a museum is what
    you do when you go on vacation
  • 7:37 - 7:39
    and you tick-mark and it's over, right?
  • 7:39 - 7:42
    And so, it took about 4 and a half years
  • 7:42 - 7:44
    for me to convince my lovely
    Indian mother
  • 7:44 - 7:45
    that actually, this is worthwhile.
  • 7:45 - 7:46
    And the way I did it
  • 7:46 - 7:49
    was I realized one day that she
    loves gold,
  • 7:49 - 7:52
    and so I started showing her objects
  • 7:52 - 7:55
    that have the material gold in them
  • 7:55 - 7:58
    and the first thing my mom
    asks me is,
  • 7:58 - 8:00
    "How can we buy these?"
  • 8:00 - 8:02
    (Laughter)
  • 8:02 - 8:05
    And obviously, my salary is not that high
  • 8:05 - 8:07
    so I was like, "We can't actually
    do that, mom.
  • 8:07 - 8:10
    But you can explore them virtually."
  • 8:10 - 8:11
    And so now my mom --
  • 8:11 - 8:14
    every time I meet she's like,
    "Any more gold,
  • 8:14 - 8:15
    any more silver in your project?
  • 8:15 - 8:16
    Can you show me?"
  • 8:16 - 8:18
    And that's the idea I'm trying
    to illustrate.
  • 8:18 - 8:21
    It does not matter how you get in,
  • 8:21 - 8:22
    as long as you get in.
  • 8:22 - 8:24
    Once you get in, you're hooked.
  • 8:24 - 8:26
    Moving on from here very quickly,
  • 8:26 - 8:29
    there is kind of a playful idea,
    actually,
  • 8:29 - 8:30
    to illustrate the point of access,
  • 8:30 - 8:32
    and I'm going to go quite quickly
    on this one.
  • 8:32 - 8:39
    We all know that seeing the artwork
    in-person is amazing.
  • 8:39 - 8:41
    But we also know that most of us
    can't do it,
  • 8:41 - 8:43
    and the ones that can afford to do it,
  • 8:43 - 8:44
    it's complicated.
  • 8:44 - 8:47
    So Seril, can we just load up
    our art trip,
  • 8:47 - 8:48
    what do we call it?
  • 8:48 - 8:49
    We don't have a good name for this.
  • 8:49 - 8:52
    But essentially, let's. --
  • 8:52 - 8:55
    so we have around 1,000
    amazing institutions, 60 countries.
  • 8:55 - 8:58
    But let's start with Rembrandt,
  • 8:58 - 9:00
    we might have time for only
    one example.
  • 9:00 - 9:02
    But thanks to the diversity,
  • 9:02 - 9:06
    we have around 500 amazing
    Rembrandt object artworks
  • 9:06 - 9:08
    from 46 institutions
    and 17 countries.
  • 9:08 - 9:11
    And let's say you on your next vacation
  • 9:11 - 9:13
    want to go see every single one of them.
  • 9:13 - 9:14
    That is your itinerary,
  • 9:14 - 9:18
    you will probably travel
    53,000 kilometers,
  • 9:18 - 9:21
    visit around, I think,
    46 institutions,
  • 9:21 - 9:29
    and just FYI, you might release
    10 tons of CO2 emissions.
  • 9:29 - 9:30
    (Laughter)
  • 9:30 - 9:31
    But remember, it's art,
  • 9:31 - 9:32
    so you can justify it, perhaps,
    in some way.
  • 9:32 - 9:33
    Moving on swiftly from here
  • 9:33 - 9:36
    is something a little bit more
    technical and more interesting.
  • 9:36 - 9:38
    So all that we've shown you so far
    uses metadata to make the connections.
  • 9:38 - 9:43
    But obviously we have something
    cool nowadays
  • 9:43 - 9:46
    that everyone likes to talk about
    called machine-learning.
  • 9:46 - 9:47
    And so what we thought is,
  • 9:47 - 9:49
    "Let's strip out all the metadata,
  • 9:49 - 9:53
    let's look at what machine-learning
    can do
  • 9:53 - 9:55
    based on visual recognition of
    this entire collection."
  • 9:55 - 10:01
    And what we ended up with
    is this very interesting map,
  • 10:01 - 10:06
    these clusters that have
    no reference point of information
  • 10:06 - 10:10
    but has just used visuals to
    cluster things together.
  • 10:10 - 10:13
    Each cluster is an art?
    to itself of discovery.
  • 10:13 - 10:16
    But one of the clusters we want
    to show you very quickly
  • 10:16 - 10:19
    is this amazing cluster
    of portraits
  • 10:19 - 10:21
    that we found from museums
    around the world.
  • 10:21 - 10:23
    If you could zoom in
    a little but more Seril,
  • 10:23 - 10:27
    just to show you, you can
    just be traveling through portraits.
  • 10:27 - 10:29
    And essentially, you can do nature,
    you can do horses,
  • 10:29 - 10:32
    and clusters galore.
  • 10:32 - 10:34
    When we say all these portraits,
    we were like,
  • 10:34 - 10:38
    "Hey, can we do something
    fun for kids,
  • 10:38 - 10:40
    can we just do something playful
  • 10:40 - 10:42
    to get people interested in portraits?"
  • 10:42 - 10:43
    Because I haven't really seen
  • 10:43 - 10:47
    young kids really excited
    to go to a portrait gallery.
  • 10:47 - 10:49
    So I want to try to
    figure something out.
  • 10:49 - 10:51
    So we created something
    called the portrait matcher.
  • 10:51 - 10:53
    It's quite self-explnatory,
  • 10:53 - 10:56
    so i'm just going to let Seril
    show his beautiful face.
  • 10:56 - 10:58
    And essentially what's happening
  • 10:58 - 11:00
    is with the movement of his head,
  • 11:00 - 11:05
    we are matching different portraits
    around the world from museums.
  • 11:05 - 11:08
    (Applause)
  • 11:08 - 11:19
    And I don't know about you,
  • 11:19 - 11:20
    but I've shown it to my nephew
  • 11:20 - 11:23
    and the reaction is just phenominal.
  • 11:23 - 11:28
    All they ask me is when
    can we go see this.
  • 11:28 - 11:29
    And by the way, if you're nice,
  • 11:29 - 11:34
    maybe Seril you can smile
    and find a happy one.
  • 11:34 - 11:35
    Oh, perfect.
  • 11:35 - 11:37
    And by the way, this is not rehearsed.
  • 11:37 - 11:40
    Congrats, Seril.
  • 11:40 - 11:43
    Let's move on.
  • 11:43 - 11:44
    Otherwise, this will
    take the whole time.
  • 11:44 - 11:48
    So, art and culture can be fun, also.
  • 11:48 - 11:52
    So for our last quick experiment --
  • 11:52 - 11:53
    we call all of these experiments --
  • 11:53 - 11:56
    our last quick experiment
    comes bck to machine learning.
  • 11:56 - 11:59
    So we show you clusters,
    visual clusters,
  • 11:59 - 12:02
    but what if we could ask
    the machine
  • 12:02 - 12:04
    to also name these clusters?
  • 12:04 - 12:07
    What if it could automatically
    tag them
  • 12:07 - 12:09
    using no actual metadata?
  • 12:09 - 12:13
    So what we have is this kind
    of explorer
  • 12:13 - 12:17
    where we have managed to
    match around 4,000 labels
  • 12:17 - 12:20
    and we haven't really
    done anything special here,
  • 12:20 - 12:22
    just feed the collection,
  • 12:22 - 12:24
    and we found interesting categories.
  • 12:24 - 12:26
    We can start with horses,
    very straightforward catgeory.
  • 12:26 - 12:28
    You would expect to see
    that the machine
  • 12:28 - 12:30
    has put images of horses, right?
  • 12:30 - 12:32
    It has.
  • 12:32 - 12:34
    But you also notice right over there
  • 12:34 - 12:36
    that it has a very abstract image
  • 12:36 - 12:39
    that it has still managed to recognize
    and cluster as horses.
  • 12:39 - 12:42
    We also have an amazing head
    in terms of a horse.
  • 12:42 - 12:46
    And each one has the tags
    as to why it got categorized.
  • 12:46 - 12:51
    So let's move to another one
    which I found very funny and interesting,
  • 12:51 - 12:53
    because I don't understand how
    this category came up.
  • 12:53 - 12:55
    It's called Lady in Waiting.
  • 12:55 - 12:58
    If Seril, you do it very quickly,
  • 12:58 - 13:01
    you will see that we have
    these amazing images
  • 13:01 - 13:04
    of ladies, I guess, in waiting
    or posing,
  • 13:04 - 13:06
    I don't really understand it
  • 13:06 - 13:07
    (Laughter)
  • 13:07 - 13:08
    But I've been trying to ask
    my museum contacts
  • 13:08 - 13:10
    what is this, what's going on here,
  • 13:10 - 13:12
    and it's fascinating.
  • 13:12 - 13:14
    Coming back to gold very quickly,
  • 13:14 - 13:16
    I wanted to search for gold
  • 13:16 - 13:18
    and see how the machine
    tagged all the gold,
  • 13:18 - 13:21
    but actually, it doesn't tag it as gold.
  • 13:21 - 13:22
    We are living in popular times.
  • 13:22 - 13:24
    It tags it as "bling bling".
  • 13:24 - 13:26
    (Laughter)
  • 13:26 - 13:31
    I'm being hard on Seril
    because I'm moving too fast.
  • 13:31 - 13:33
    Essentially, here you have
    all the bling bling
  • 13:33 - 13:36
    of the world's museums
    organized for you.
  • 13:36 - 13:40
    And finally to end this talk
    and these experiments,
  • 13:40 - 13:43
    what I hope you feel after this talk
    is happiness and emotion.
  • 13:43 - 13:45
    And what would we see
    when we see happiness?
  • 13:45 - 13:49
    If we actually look at
    all the objects
  • 13:49 - 13:51
    that have been tagged under happines,
  • 13:51 - 13:54
    you would expect happiness,
    I guess.
  • 13:54 - 13:56
    But there was one that
    came up
  • 13:56 - 14:02
    that was very fascinating
    and interesting
  • 14:02 - 14:04
    which was this artwork
    by Douglas Coupland,
  • 14:04 - 14:07
    our friend and artist in residence
    as well
  • 14:07 - 14:09
    called "I Miss My Pre-Internet Brain".
  • 14:09 - 14:10
    I don't know why the machine
    feels like
  • 14:10 - 14:12
    it misses it's pre-Internet brain,
  • 14:12 - 14:14
    it's been tagged here.
  • 14:14 - 14:16
    But you know, it's a very
    interesting part.
  • 14:16 - 14:18
    I sometimes do miss
    my pre-Internet brain,
  • 14:18 - 14:21
    but now when it comes
    to exploring arts and culture online.
  • 14:21 - 14:23
    So take out your phones,
    take out your computers,
  • 14:23 - 14:24
    go visit museums.
  • 14:24 - 14:27
    And just a quick call-out
    to all the amazing archivists,
  • 14:27 - 14:28
    historians, curators,
  • 14:28 - 14:31
    who are sitting in museums
    preserving all this culture.
  • 14:31 - 14:34
    And the least we can do is get
    our daily dose of art and culture
  • 14:34 - 14:36
    for ourselves and our kids.
  • 14:36 - 14:37
    Thank you.
  • 14:37 - 14:48
    (Applause)
Title:
Every piece of art you've ever wanted to see -- up close and searchable
Speaker:
Amit Sood
Description:

more » « less
Video Language:
English
Team:
closed TED
Project:
TEDTalks
Duration:
15:00

English subtitles

Revisions Compare revisions