Video coding based on pre-attentive processing

Cagatay Dikici; H. Isil Bozma

doi:10.1117/12.602122

25 February 2005 Video coding based on pre-attentive processing

Cagatay Dikici, H. Isil Bozma

Proceedings Volume 5671, Real-Time Imaging IX; (2005) https://doi.org/10.1117/12.602122
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

Attentive robots have visual systems with fovea-periphery distinction and saccadic motion capability. Previous work has shown that spatial and temporal redundancy thus present can be exploited in video coding/streaming algorithms and hence considerable bandwidth efficiency can be achieved. In this paper, we present a complete framework for real-time video coding with integrated pre-attentive processing and show that areas of greatest interest can be ensured of being processed in greater detail. The first step is pre-attention where the goal is to fixate on the most interesting parts of the incoming scene using a measure of saliency. The construction of the pre-attention function can vary depending on the set of visual primitives used. Here, we use Cartesian and Non-Cartesian filters and build a pre-attention function for a specific problem -- namely video coding in applications such as robot-human tracking or video-conferencing. Using the most salient and distinguishing filter responses as the input, system parameters of a neural network are trained using resilient back-propagation algorithm with supervised learning. These parameters are then used in the construction of the pre-attentive function. Comparative results indicate that even with a very limited amount of learning, performance robustness can be achieved.

Citation Download Citation

Cagatay Dikici and H. Isil Bozma "Video coding based on pre-attentive processing", Proc. SPIE 5671, Real-Time Imaging IX, (25 February 2005); https://doi.org/10.1117/12.602122

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