Search Goal Tunes Visual Features Optimally
نویسندگان
چکیده
منابع مشابه
Search Goal Tunes Visual Features Optimally
How does a visual search goal modulate the activity of neurons encoding different visual features (e.g., color, direction of motion)? Previous research suggests that goal-driven attention enhances the gain of neurons representing the target's visual features. Here, we present mathematical and behavioral evidence that this strategy is suboptimal and that humans do not deploy it. We formally deri...
متن کاملVisual Search for Object Features
In this work we present the computational algorithm that combines perceptual and cognitive information during the visual search for object features. The algorithm is initially driven purely by the bottomup information but during the recognition process it becomes more constrained by the top-down information. Furthermore, we propose a concrete model for integrating information from successive sa...
متن کاملFeatures in visual search combine linearly.
Single features such as line orientation and length are known to guide visual search, but relatively little is known about how multiple features combine in search. To address this question, we investigated how search for targets differing in multiple features (intensity, length, orientation) from the distracters is related to searches for targets differing in each of the individual features. We...
متن کاملInformativeness of visual features guides search
While visual search is known to be heavily guided by visual features similar to those in the search target, little is known about how we select the feature dimensions – such as luminance or orientation to guide search so efficiently. Here we introduce a novel measure of the informativeness of individual feature dimensions for a given search task. By analyzing human eye movements during search i...
متن کاملEURECOM @ SAVA2015: Visual Features for Multimedia Search
This paper describes our approach to carry out multimedia search by connecting the textual information, or the corresponding textual description of the required visual content, in the user query to the audio-visual content of the videos within the collection. The experiments were carried out on the dataset of the Search and Anchoring in Video Archives (SAVA) task at MediaEval 2015, consisting o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Neuron
سال: 2007
ISSN: 0896-6273
DOI: 10.1016/j.neuron.2007.01.018