Subject: Need feedback on Thesis - Music in Images From: Arjun Gupta <ag497@xxxxxxxx> Date: Tue, 14 Sep 2010 11:13:49 -0400 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>--0016e6db7c6c29e530049039aa7b Content-Type: text/plain; charset=ISO-8859-1 Hi, My name is Arjun Gupta, I am doing my Masters in Digital Media from Drexel University, Philadelphia PA. I have a thesis called Music in Images and it is based on algorithmic music composition from digital images. It presents an approach where visual art (or visual data) is transformed into music art (or sound data) through the application of an algorithmic filter. The application of my project is viewable online and I am looking to get viewpoint from psychologists (and/or general public) regarding the application of this project in the field of psychology, for exploring relationships between images, computer generated music and human emotional interpretation. Please read through my project description and view my project. I would deeply appreciate your response on this. Here is the information about my project: Project description and Application info: This project presents a new approach towards algorithmic music composition where the music is composed using the pixel values of digital images. Designed for use with abstract images, the project makes use of image data, such as: pixel Color, Saturation, Brightness, and qualities like: Overall Image Brightness, Color Variation and Prominent Colors. Each of the above properties contribute towards composition of the music. The song attributes controlled by them include: Melody generation, Durations, Cord Generation, Chord Progression, Tempo,Scale and Transposition. The theory behind the translation of image attributes to music attributes is based on previous works done in the field of psychology, in the topic: perceptual associations of audio frequency and music modes with hue, saturation and brightness. In addition to this, there are certain translation techniques which are based on my artistic sense. The analogy for Image to Music translation used here is: Pixels : Similar Color regions : Overall Image Notes : Chords : Scale Here is the link to the online application: http://www.musicinimages.com Thank you, Sincerely, Arjun Gupta --0016e6db7c6c29e530049039aa7b Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable <div>Hi,=A0</div><div><br></div><div>My name is Arjun Gupta, I am doing my = Masters in Digital Media from Drexel University, Philadelphia PA.=A0</div><= div><br></div><div>I have a thesis called Music in Images and it is based o= n algorithmic music composition from digital images. It presents an approac= h where visual art (or visual data) is transformed into music art (or sound= data) through the application of an algorithmic filter.=A0</div> <div><br></div><div>The application of my project is viewable online and I = am looking to get viewpoint from psychologists (and/or general public) rega= rding the application of this project in the field of psychology, for explo= ring relationships between images, computer generated music and human emoti= onal interpretation.=A0</div> <div><br></div><div><br></div><div>Please read through my project descripti= on and view my project. I would deeply appreciate your response on this.=A0= </div><div><br></div><div><br></div><div>Here is the information about my p= roject:=A0</div> <div><br></div><div>Project description and Application info:=A0</div><div>= This project presents a new approach towards algorithmic music composition = where the music is composed using the pixel values of digital images.=A0</d= iv> <div><br></div><div>Designed for use with abstract images, the project make= s use of image data, such as: pixel Color, Saturation, Brightness, and qual= ities like: Overall Image Brightness, Color Variation and Prominent Colors.= =A0</div> <div><br></div><div>Each of the above properties contribute towards composi= tion of the music. The song attributes controlled by them include: Melody g= eneration, Durations, Cord Generation, Chord Progression, Tempo,Scale and T= ransposition.=A0</div> <div><br></div><div>The theory behind the translation of image attributes t= o music attributes is based on previous works done in the field of psycholo= gy, in the topic: perceptual associations of audio frequency and music mode= s with hue, saturation and brightness. In addition to this, there are certa= in translation techniques which are based on my artistic sense.=A0</div> <div><br></div><div>The analogy for Image to Music translation used here is= :=A0</div><div><br></div><div>Pixels : Similar Color regions : Overall Imag= e=A0</div><div>Notes : Chords : Scale=A0</div><div><br></div><div><br></div= > <div> Here is the link to the online application:=A0</div><div><br></div><div><a = href=3D"http://www.musicinimages.com">http://www.musicinimages.com</a>=A0</= div><div><br></div><div><br></div><div><br></div><div>Thank you,=A0</div><d= iv> Sincerely,=A0</div> <div>Arjun Gupta=A0</div> --0016e6db7c6c29e530049039aa7b--