Scene image representation by foreground, background and hybrid features

Object Category Recognition by Bag-of-Features Using Co-Occurrence Representation by Foreground and Background Information

Thesis Proposal: Learning Image Patch Representation for Detection, Recognition and Dynamic Foreground/Background Extraction

Using feature based (ie. interest image features that satisfy some metrics of geometric or photometric invariance [39, 50, 66, 74, 73]) or direct image methods (ie. derivatives or differences of image intensity patterns [2, 37, 49]) for 3D object/scene model construction [48, 97], image content retrieval [85, 14], object recognition [24, 66], video structure matching/parsing [83, 93, 92] and au...

Disentangling Motion, Foreground and Background Features in Videos

This paper introduces an unsupervised framework to extract semantically rich features for video representation. Inspired by how the human visual system groups objects based on motion cues, we propose a deep convolutional neural network that disentangles motion, foreground and background information. The proposed architecture consists of a 3D convolutional feature encoder for blocks of 16 frames...

Enhancement of Learning Based Image Matting Method with Different Background/Foreground Weights

The problem of accurate foreground estimation in images is called Image Matting. In image matting methods, a map is used as learning data, which is produced by those pixels that are definitely foreground, definitely background ,and unknown. This three-level pixel map is often referred to as a trimap, which is produced manually in alpha matte datasets. The true class of unknown pixels will be es...

Interaction between Attention and Bottom-Up Saliency Mediates the Representation of Foreground and Background in an Auditory Scene

The mechanism by which a complex auditory scene is parsed into coherent objects depends on poorly understood interactions between task-driven and stimulus-driven attentional processes. We illuminate these interactions in a simultaneous behavioral-neurophysiological study in which we manipulate participants' attention to different features of an auditory scene (with a regular target embedded in ...