Low-power content-based video acquisition for super-resolution enhancement
IEEE Transactions on Multimedia - Special section on communities and media computing
Proceedings of the international conference on Multimedia
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Semi-automated magazine layout using content-based image features
Proceedings of the 20th ACM international conference on Multimedia
Real-Time viewfinder composition assessment and recommendation to mobile photographing
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
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At the time of image acquisition, professional photographers apply many rules of thumb to improve the composition of their photographs. This paper develops a joint optical-digital processing framework for automating composition rules during image acquisition for photographs with one main subject. Within the framework, we automate three photographic composition rules: repositioning the main subject, making the main subject more prominent, and making objects that merge with the main subject less prominent. The idea is to provide to the user alternate pictures obtained by applying photographic composition rules in addition to the original picture taken by the user. The proposed algorithms do not depend on prior knowledge of the indoor/outdoor setting or scene content. The proposed algorithms are also designed to be amenable to software implementation on fixed-point programmable digital signal processors available in digital still cameras.