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A survey on high coherence visual media retargeting: recent advances and applications

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Abstract

The numerous works on media retargeting call for a thorough and comprehensive survey for reviewing and categorizing existing works and providing insights that can help future design of retargeting approaches and its applications. First, we present the basic problem of media retargeting and detail state-of-the-art retargeting methods devised to solve it. Second, we review recent works on objective quality assessment of media retargeting, where we find that although these works are designed to make the objective assessment result in accordance with the subjective evaluation, they are only suitable for certain situations. Considering the subjective nature of aesthetics, designing objective assessment metric for media retargeting could be a promising area for investigation. Third, we elaborate on other applications extended from retargeting techniques. We show how to apply the retargeting techniques in other fields to solve their challenging problems, and reveal that retargeting technique is not just a simple scaling algorithm, but a thought or concept, which has great flexibility and is quite useful.We believe this review can help researchers and practitioners to solve the existing problems of media retargeting and bring new ideas in their works.

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  1. School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, 201203, China

    Weimin Tan & Bo Yan

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  1. Weimin Tan
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Correspondence to Bo Yan.

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Weimin Tan received his master’s degree at the College of Communication Engineering, Chongqing University, China. He is currently pursuing the doctoral degree with the School of Computer Science at Fudan University, China. His research interests include digital image and video processing.

Bo Yan received his PhD degree in computer science and engineering from the Chinese University of Hong Kong (CUHK), China in 2004. Before that, he received his degrees of BE and ME in communication engineering both from Xi’an Jiaotong University (XJTU), China in 1998 and 2001 respectively. From 2004 to 2006, he worked in the National Institute of Standards and Technology US (NIST) as a Postdoctoral Guest Researcher. Dr. Yan is currently a professor in School of Computer Science at Fudan University, China. He has served as the Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), and the Guest Editor of Special Issue on “Content-aware Visual Systems: Analysis, Streaming and Retargeting” for IEEE Journal on Emerging and Selected topics in Circuits and Systems (JETCAS). He is the awardee of the NSFC Excellent Young Scholars Program in 2015. His research interests include video processing, computer vision and multimedia communications.

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Tan, W., Yan, B. A survey on high coherence visual media retargeting: recent advances and applications. Front. Comput. Sci. 10, 778–796 (2016). https://doi.org/10.1007/s11704-016-6084-3

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