WACV
Paper in IEEE WACV (2017): "Complex Event Recognition from Images with Few Training Examples"
Paper Abstract We propose to leverage concept-level representations for complex event recognition in photographs given limited training examples. We introduce a novel framework to discover event concept attributes from the web and use that to extract semantic features from images and classify them into social event categories with few training examples. Discovered concepts include a variety of objects, scenes, […]
Paper in WACV 2016 on “Discovering Picturesque Highlights from Egocentric Vacation Videos”
Paper Abstract We present an approach for identifying picturesque highlights from large amounts of egocentric video data. Given a set of egocentric videos captured over the course of a vacation, our method analyzes the videos and looks for images that have good picturesque and artistic properties. We introduce novel techniques to automatically determine aesthetic features […]
Paper in WACV (2015): “Semantic Instance Labeling Leveraging Hierarchical Segmentation"
Paper Abstract Most of the approaches for indoor RGBD semantic labeling focus on using pixels or superpixels to train a classifier. In this paper, we implement a higher level segmentation using a hierarchy of superpixels to obtain a better segmentation for training our classifier. By focusing on meaningful segments that conform more directly to objects, […]
Paper in IEEE WACV (2015): “Finding Temporally Consistent Occlusion Boundaries using Scene Layout”
Citation Abstract We present an algorithm for finding temporally consistent occlusion boundaries in videos to support the segmentation of dynamic scenes. We learn occlusion boundaries in a pairwise Markov random field (MRF) framework. We first estimate the probability of a spatiotemporal edge being an occlusion boundary by using appearance, flow, and geometric features. Next, we […]
Paper in IEEE WACV (2015): “Leveraging Context to Support Automated Food Recognition in Restaurants”
Citation Abstract The pervasiveness of mobile cameras has resulted in a dramatic increase in food photos, which are pictures reflecting what people eat. In this paper, we study how taking pictures of what we eat in restaurants can be used for the purpose of automating food journaling. We propose to leverage the context of where […]
Paper in WACV (2015): “Egocentric Field-of-View Localization Using First-Person Point-of-View Devices”
Paper Abstract We present a technique that uses images, videos and sensor data taken from first-person point-of-view devices to perform egocentric field-of-view (FOV) localization. We define egocentric FOV localization as capturing the visual information from a person’s field-of-view in a given environment and transferring this information onto a reference corpus of images and videos of […]
Four Papers at IEEE Winter Conference on Applications of Computer Vision (WACV 2015)
Four papers accepted at the IEEE Winter Conference on Applications of Computer Vision (WACV) 2015. See you at Waikoloa Beach, Hawaii! [bibtex file=IrfanEssaWS.bib key=2015-Bettadapura-EFLUFPD,2015-Bettadapura-LCSAFRR,2015-Hickson-SILLHS,2015-Raza-FTCOBUSL] Last one was also the WINNER of Best Paper Award (see http://wacv2015.org/). More details coming soon.