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As an artist I make systematic conducted studies revealing the mechanisms within our visual culture by using quantitative research methods, at the moment being A/B testing, eye-tracking and image recognition software.


Coralie Vogelaar
Zomerdijkstraat 18-2
1079XB Amsterdam
Marcusstraat 52
1091TK Amsterdam

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Tel. +31(0)614205564


As an artist I make systematic conducted studies revealing the mechanisms within our visual culture by using quantitative research methods, at the moment being A/B testing, eye-tracking and image recognition software.

Ⓒ 2009 - 2016


Working Method

Observation


Formulate a simple question from a personal interest


Think of an interesting research
method suitable for the question


Try to use methods from other
fields or new emerging technologies


Be aware that a clear research can be repeated


Believe simple ideas can produce complex thoughts


and can result in multiple works


Allow yourself to be surprised by the outcome


Be honest


IN PROGRESS
NEWS VARIATIONS - LOOKING FOR SOMETHING IN BETWEEN MACHINE VISION AND DANCE NOTATION (WORKING TITLE)
2016 -

The unforeseen has a hard time happening because it is not yet in the database.’
( Hito Steyerl, ‘Politics of Post-Representation’, Dis-Magazine, 2014 )

My latest project News Variations revolves around the question: ‘What features determine ‘successfull’ news photos?’
From a selection of worldwide press agency databases (which include amateur witness photos) I scraped all the news photos in relation to the ten events that received the most coverage in the past five years. This resulted in a database of approx. 850.000 images. By using image recognition software from Google (and some proxies), I determined how many times an individual image exists on the google indexed internet. In other words, the reproduction rate of each image is calculated. Press photos from a big news event have a wide range of variables but are in a way very uniform - since they are all witness photographs –, therefore my database consists of an ideal set for a cross-sectional study. My goal is to determine the factors that make an image ‘successful’ and factors determining its ‘unsuccesfullness’. ‘Successful’ is here defined as the amount of showing up via the google index.

IN PROGRESS
NEWS VARIATIONS - LOOKING FOR SOMETHING IN BETWEEN MACHINE VISION AND DANCE NOTATION (WORKING TITLE)
2016 -

The unforeseen has a hard time happening because it is not yet in the database.’
( Hito Steyerl, ‘Politics of Post-Representation’, Dis-Magazine, 2014 )

My latest project News Variations revolves around the question: ‘What features determine ‘successfull’ news photos?’
From a selection of worldwide press agency databases (which include amateur witness photos) I scraped all the news photos in relation to the ten events that received the most coverage in the past five years. This resulted in a database of approx. 850.000 images. By using image recognition software from Google (and some proxies), I determined how many times an individual image exists on the google indexed internet. In other words, the reproduction rate of each image is calculated. Press photos from a big news event have a wide range of variables but are in a way very uniform - since they are all witness photographs –, therefore my database consists of an ideal set for a cross-sectional study. My goal is to determine the factors that make an image ‘successful’ and factors determining its ‘unsuccesfullness’. ‘Successful’ is here defined as the amount of showing up via the google index.

NB This is work in progres, so not finalized and can be seen as a sketch

  • What are the characteristics of successful news photos?News Variations, Dance pose based on successful and unsuccessful news photos (proof recording April 2016)


  • News Variations, Dance pose based on successful and unsuccessful news photos (proof recording April 2016)


    News Variations, Dance pose based on successful and unsuccessful news photos (proof recording April 2016)


    News Variations, Dance pose based on successful and unsuccessful news photos (proof recording April 2016)

    We need to see images not just as inert objects that convey meaning but as animated beings with desires, needs, appetites, demands, and drives of their own. ( ‘What do Images Want?’, 2005 van W.J.T Mitchell )

    The analyses of this cross-sectional study finds its way in several visual presentations. The core presentation is a movement study. This choreography for nine dancers is designed by Marjolein Vogels based on the characteristics of ‘successful’ and ‘unsuccessful’ news images, and will be presented in a six-channel video installation. Following the ten selected events – that range from an earthquake in Pakistan to the protests in Kiev, and the refugee crisis – the database is devided in a ‘machine vision manner’. For example, Variation 1 is a single person surrounded by others (e.g. the arrest of a person or a victim being carried away); Variation 2 is a strong body movement of one or more people (e.g. running away or throwing a stone); Variation 3 shows a certain stillness in posture (e.g. waiting or mourning).

    The six channel installation places a choreography based on successful images in conjunction with a choreography based on unsuccessful images. All original photographs were taken at the same moment, on the same spot and for the same press agency. By juxtaposing these two series of images, as captured by dancers, they form a parallel choreography in which the dancers move from one frozen position into another position. Each pose is an expression of an actual photograph. The sequences are shown in six phrases (3x2) that loop in different lengths as a never-ending study in movement on news photography.

    Based on trial recordings, below three provisional fragments. For the final recordings a professional camera and light crew are added to the team to implement a light study based on the newsphotos. The dance group is going to be expanded with four dancers (men and women

    We need to see images not just as inert objects that convey meaning but as animated beings with desires, needs, appetites, demands, and drives of their own. ( ‘What do Images Want?’, 2005 van W.J.T Mitchell )

    The analyses of this cross-sectional study finds its way in several visual presentations. The core presentation is a movement study. This choreography for nine dancers is designed by Marjolein Vogels based on the characteristics of ‘successful’ and ‘unsuccessful’ news images, and will be presented in a six-channel video installation. Following the ten selected events – that range from an earthquake in Pakistan to the protests in Kiev, and the refugee crisis – the database is devided in a ‘machine vision manner’. For example, Variation 1 is a single person surrounded by others (e.g. the arrest of a person or a victim being carried away); Variation 2 is a strong body movement of one or more people (e.g. running away or throwing a stone); Variation 3 shows a certain stillness in posture (e.g. waiting or mourning).

    The six channel installation places a choreography based on successful images in conjunction with a choreography based on unsuccessful images. All original photographs were taken at the same moment, on the same spot and for the same press agency. By juxtaposing these two series of images, as captured by dancers, they form a parallel choreography in which the dancers move from one frozen position into another position. Each pose is an expression of an actual photograph. The sequences are shown in six phrases (3x2) that loop in different lengths as a never-ending study in movement on news photography.

    Based on trial recordings, below three provisional fragments. For the final recordings a professional camera and light crew are added to the team to implement a light study based on the newsphotos. The dance group is going to be expanded with four dancers (men and women

    What are the characteristics of successful news photos?
    Laban, an icosahedron // kinesphere or the volume of space directly accessible through the body’s parts, 1947 - artisticresearch.tumblr.com

    What are the characteristics of successful news photos?
    Looking for something in between #machinevision and #dancenotation - instagram.com/coralievogelaar

    What are the characteristics of successful news photos?
    Laban, an icosahedron // kinesphere or the volume of space directly accessible through the body’s parts, 1947 - artisticresearch.tumblr.com

    What are the characteristics of successful news photos?
    Looking for something in between #machinevision and #dancenotation - instagram.com/coralievogelaar


    provisional recording


    provisional recording


    provisional recording


    provisional recording


    provisional recording


    provisional recording

    In conjunction with the video installation this comprehensive study will also be presented in other forms. An average of one third of the news photos from the selected press agencies are nowhere to be found on the google indexed web, they only exists behind the login wall off the agency. Based on this fact I will produce a series of glass boxes reflecting a so called News Residue.

    What are the characteristics of successful news photos?News Residue #1, photos from the Kiev protests on 02-20-2014 that are not indexed by Google, 2016 1 50 photo prints of 7,5 x 5cm, plexiglas box 60 x 60 x 7 cm

    What are the characteristics of successful news photos?News Residue #1, photos from the Kiev protests on 02-20-2014 that are not indexed by Google, 2016, 150 photo prints of 7,5 x 5cm, plexiglas box 60 x 60 x 7 cm

    In conjunction with the video installation this comprehensive study is also going to be presented in other forms. An average of one third of the news photos in my database are nowhere to be found on the google indexed web: they only seem to exist behind the login wall off a press agency. Based on this fact I produce a series of glass boxes reflecting a so called ‘news residue’.

    A third work might consist of drawings and sketches I have made to distill the compositional lines and focus points in ‘successful’ and ‘unsuccessful’ photographs. This process gives insight in the transformation from the actual image to the choreography. From both sets of photos, lines and faces that grab attention have been analyzed by photo filters and eye tracking software. This research could be presented in a variety of forms for example as take away posters in the exhibition space. Moreover the posters could serve as an entrance to understand how the video images were compiled.

    The process of distinguishing a successful news images from the unsuccessful ones, is an interesting matter that could become the basis of a built in algorithm for the camera. With face and body movement recognition, the software itself – just like the smile detection software in recent consumer cameras – could deduct a successful composition and automatically decides to take the picture or automatically filter the right still from moving imagery. You could say that by applying the Machine Vision as a technology and method, I am analysing and studying news images by using a particular dance notation in reverse. In this work I am not looking at the representational but I used it to really understand an image.

    In conjunction with the video installation this comprehensive study is also going to be presented in other forms. An average of one third of the news photos in my database are nowhere to be found on the google indexed web: they only seem to exist behind the login wall off a press agency. Based on this fact I produce a series of glass boxes reflecting a so called ‘news residue’.

    A third work might consist of drawings and sketches I have made to distill the compositional lines and focus points in ‘successful’ and ‘unsuccessful’ photographs. This process gives insight in the transformation from the actual image to the choreography. From both sets of photos, lines and faces that grab attention have been analyzed by photo filters and eye tracking software. This research could be presented in a variety of forms for example as take away posters in the exhibition space. Moreover the posters could serve as an entrance to understand how the video images were compiled.

    The process of distinguishing a successful news images from the unsuccessful ones, is an interesting matter that could become the basis of a built in algorithm for the camera. With face and body movement recognition, the software itself – just like the smile detection software in recent consumer cameras – could deduct a successful composition and automatically decides to take the picture or automatically filter the right still from moving imagery. You could say that by applying the Machine Vision as a technology and method, I am analysing and studying news images by using a particular dance notation in reverse. In this work I am not looking at the representational but I used it to really understand an image.



     

    Research Questions & Methods