Attention region selection with information from professional digital camera

The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image classification, adaptation, compression and retrieval. Different from the traditional visual attention detection models, we propose a new attentive region extraction method based on out-of-focus blurring (OFB) technique used by professional photographers. Firstly, we combine metadata in Exchangeable Image File Format (EXIF) with visual features to quickly select professional photographs from image database. After that, an algorithm is implemented to automatically extract the attentive region from these photographs. This algorithm measures the saliency for individual pixels based on edge distribution of the images. The experimental results on OFB images have proved that our approach is able to overcome the contrast map selection problem of traditional visual attention methods and extract the attentive region...

• Type: Conference
• Year: 2005
• Where: MM
• Authors: Song Liu, Liang-Tien Chia, Deepu Rajan
• Keywords: Attentive Region, Attentive Region Extraction, MM 2005, Successful Attentive Region