Name
Title | ||
|---|---|---|
Photosense: Make sense of your photos with enriched harmonic music via emotion association |
Abstract | ||
|---|---|---|
This paper proposes a novel audiovisual presentation system, called PhotoSense, to enrich photo navigation experience by associating emotionally harmonic music with a given photo collection. Different from many conventional photo visualization systems which predominantly focus on the visual elements for presentation, we explore both visual and aural perspectives which can enhance the browsing experience from each other. This is achieved by building an emotion space shared by visual and aural domains, and a set of emotion classifiers which can associate each visual and aural element with this space. Furthermore, we design a sequence matching algorithm to associate a set of music with a photo collection by maximizing similarity in the emotion space. Photo-Sense represents one of the first mash-up applications which build a natural connection between the ever increasing personal photo collections on the Web and music-sharing sites. Experiments show that PhotoSense provides better browsing experience for photo collections. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICME.2011.6011994 | ICME |
Keywords | Field | DocType |
aural element,browsing experience,personal photo collection,enriched harmonic music,emotion space,emotion,emotion association,photo collection,visual element,conventional photo visualization system,affective content analysis,photo navigation experience,aural perspective,aural domain,multimedia presentation,brightness,visual system,feature extraction,couplings,content analysis,niobium,visualization,support vector machines,harmonic analysis | Computer vision,Sequence matching,Computer science,Visualization,Support vector machine,Harmonic,Feature extraction,Artificial intelligence | Conference |
ISSN | ISBN | Citations |
1945-7871 E-ISBN : 978-1-61284-349-0 | 978-1-61284-349-0 | 4 |
PageRank | References | Authors |
0.65 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ja-Hwung Su | 1 | 329 | 24.53 |
| Ming Hua Hsieh | 2 | 412 | 68.90 |
| Tao Mei | 3 | 4702 | 288.54 |
| Vincent S. Tseng | 4 | 2923 | 161.33 |