کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
527685 869346 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Tag-Saliency: Combining bottom-up and top-down information for saliency detection
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Tag-Saliency: Combining bottom-up and top-down information for saliency detection
چکیده انگلیسی


• Integrate auto-tagging in saliency detection to label large scale multimedia data.
• Combine low-level and high-level information in a uniformed saliency model.
• Extract semantic information by an effective paradigm for saliency detection.

In the real world, people often have a habit tending to pay more attention to some things usually noteworthy, while ignore others. This phenomenon is associated with the top-down attention. Modeling this kind of attention has recently raised many interests in computer vision due to a wide range of practical applications. Majority of the existing models are based on eye-tracking or object detection. However, these methods may not apply to practical situations, because the eye movement data cannot be always recorded or there may be inscrutable objects to be handled in large-scale data sets. This paper proposes a Tag-Saliency model based on hierarchical image over-segmentation and auto-tagging, which can efficiently extract semantic information from large scale visual media data. Experimental results on a very challenging data set show that, the proposed Tag-Saliency model has the ability to locate the truly salient regions in a greater probability than other competitors.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Vision and Image Understanding - Volume 118, January 2014, Pages 40–49
نویسندگان
, , ,