Image and Video Aesthetics

Due to the rise in the popularity of digital cameras and digital photography, there are huge volumes of visual dataavailable on the web. Some of these visual pictures are very beautiful and aesthetically pleasing while the others are not soappealing. Photo aesthetics is an emerging field of research which can categorize large image collections into aesthetically goodand bad photographs. In our paper we discuss the existing aesthetic image evaluation on the basis of: 1) low level attributes e.g.color, texture, edges 2) Middle level attributes e.g., contours, shapes and regions. 3) High level attributes e.g. image composition,image content and sky attributes. We discuss image retrieval with respect to the relationships between the high, middle and lowlevel attributes to reduce the semantic gap between the high level semantic features and low level attributes .Image aesthetics is ahigh level image retrieval attribute, we discuss and analyze the various aesthetics classification and prediction methods prevalentfor determining the aesthetic inclination of an image.Keywords: Photo aesthetics, aesthetic image evaluation, low level attributes, middle level attributes, high level attributes, imageretrieval, semantic gap