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Photo and Video Quality Evaluation: Focusing on the Subject

Photo and Video Quality Evaluation: Focusing on the Subject,10.1007/978-3-540-88690-7_29,Yiwen Luo,Xiaoou Tang

Photo and Video Quality Evaluation: Focusing on the Subject   (Citations: 29)
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Traditionally, distinguishing between high quality professional pho- tos and low quality amateurish photos is a human task. To automatically assess the quality of a photo that is consistent with humans perception is a challenging topic in computer vision. Various differences exist between photos taken by pro- fessionals and amateurs because of the use of photography techniques. Previous methods mainly use features extracted from the entire image. In this paper, based on professional photography techniques, we first extract the subject region from a photo, and then formulate a number of high-level semantic features based on this subject and background division. We test our features on a large and diverse photo database, and compare our method with the state of the art. Our method performs significantly better with a classification rate of 93% versus 72% by the best existing method. In addition, we conduct the first study on high-level video quality assessment. Our system achieves a precision of over 95% in a reason- able recall rate for both photo and video assessments. We also show excellent application results in web image search re-ranking.
Conference: European Conference on Computer Vision - ECCV , pp. 386-399, 2008
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    • ...This is contrary to many other photographic properties that have been addressed in the literature such as photo quality [16], saliency [10], attractiveness [15], composition [8, 18], color harmony [4], and object importance [22]...
    • ...In order to build a predictor of how memorable an image is, we used similar approaches to works studying other subjective image properties [16, 18, 24]...
    • ...portance [22], saliency [10], and photo quality [16]...

    Phillip Isolaet al. What makes an image memorable?

    • ...[5, 12], have been proposed to assess the visual quality of photos...

    Vladimir Bychkovskyet al. Learning photographic global tonal adjustment with a database of input...

    • ...[5, 12], have been proposed to assess the visual quality of photos...

    Vladimir Bychkovskyet al. Learning photographic global tonal adjustment with a database of input...

    • ...Aesthetics: There has been some previous work on estimating the aesthetic quality of images, including methods to differentiate between images captured by professional photographers versus amateurs [24, 11, 25, 3, 23, 17]...
    • ...Our method is most similar to Luo & Tang [17], who also consider ideas of estimating the subject of photographs to predict aesthetic quality...
    • ...Ouroverallperformanceis comparable to the results reported in Luo & Tang [17], but seems to perform somewhat better, especially in the high precision low recall range ‐ arguably the more important scenario for users trying to select high aesthetic quality photographs from large collections...

    Sagnik Dharet al. High level describable attributes for predicting aesthetics and intere...

    • ...Previous works such as [4,10,11] rely, to a large extent, on color information to extract features...
    • ...The features presented have been tested on a collection of images previously used for aesthetic classification tasks [4,11]...

    Juan Romeroet al. Aesthetic Classification and Sorting Based on Image Compression

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