Patent application number | Description | Published |
20090147995 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM - An information processing apparatus includes information input units which inputs observation information in a real space; an event detection unit which generates event information including estimated position and identification information on users existing in the actual space through analysis of the input information; and an information integration processing unit which sets hypothesis probability distribution data regarding user position and user identification information and generates analysis information including the user position information through hypothesis update and sorting out based on the event information, in which the event detection unit detects a face area from an image frame input from an image information input unit, extracts face attribute information from the face area, and calculates and outputs a face attribute score corresponding to the extracted face attribute information to the information integration processing unit, and the information integration processing unit applies the face attribute score to calculate target face attribute expectation values. | 06-11-2009 |
20090232363 | INFORMATION PROCESSING APPARATUS, METHOD, AND PROGRAM - An information processing apparatus includes: face detecting means for detecting the orientation of a face in a face image; weight distribution generating means for generating a weight distribution based on a statistical distribution of the position of a predetermined feature of the face in the face image according to the orientation of the face; first calculation means for calculating a first evaluation value for evaluating each of predetermined regions of the face image to determine whether the region is the predetermined feature of the face; and face feature identifying means for identifying the predetermined region as the predetermined feature of the face based on the first evaluation value and the weight distribution. | 09-17-2009 |
20100094799 | ELECTRONIC APPARATUS, CONTENT RECOMMENDATION METHOD, AND PROGRAM - An electronic apparatus includes a storage section, a first generation section, a second generation section, an update section, and an output section. The storage section stores contents, titles thereof, and viewing history information on viewing histories of the contents by a user. The first generation section generates, based on the stored viewing history information, recommendation display information containing as a recommended-content list a list of titles of contents that the user has not viewed among the stored contents. The second generation section generates dependence information on first and second contents among the stored contents by analyzing text information on a network, the second content being created dependently on the first content. The update section updates, based on the dependence information, the recommendation display information so that the user is prevented from viewing the second content before the first content. The output section outputs the updated recommendation display information. | 04-15-2010 |
20100245612 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing device includes: a determination unit determining whether each character included as a subject in a captured image is an unnoted non-main character; and a controller controlling an image-related process which is a process related to an image on the basis of a status of the character determined as a non-main character. | 09-30-2010 |
20110091071 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing apparatus including an image acquisition unit that acquires a target image; a face part extraction unit that extracts a face region including a face part from the target image; an identification unit that identifies a model face part by comparing the face part to a plurality of model face parts stored in a storage unit; and an illustration image determination unit that determines an illustration image corresponding to the identified model face part. | 04-21-2011 |
20120033861 | SYSTEMS AND METHODS FOR DIGITAL IMAGE ANALYSIS - Systems and methods for implementing a hierarchical image recognition framework for classifying digital images are provided. The provided hierarchical image recognition framework utilizes a multi-layer approach to model training and image classification tasks. A first layer of the hierarchical image recognition framework generates first layer confidence scores, which are utilized by the second layer to produce a final recognition score. The provided hierarchical image recognition framework permits model training and image classification tasks to be performed more accurately and in a less resource intensive fashion than conventional single-layer image recognition frameworks. In some embodiments real-time operator guidance is provided for an image classification task. | 02-09-2012 |
20120033862 | SYSTEMS AND METHODS FOR SEGMENTING DIGITAL IMAGES - Methods and systems disclosed herein provide the capability to automatically process digital pathology images quickly and accurately. According to one embodiment, an digital pathology image segmentation task may be divided into at least two parts. An image segmentation task may be carried out utilizing both bottom-up analysis to capture local definition of features and top-down analysis to use global information to eliminate false positives. In some embodiments, an image segmentation task is carried out using a “pseudo-bootstrapping” iterative technique to produce superior segmentation results. In some embodiments, the superior segmentation results produced by the pseudo-bootstrapping method are used as input in a second segmentation task that uses a combination of bottom-up and top-down analysis. | 02-09-2012 |
20120087556 | DIGITAL IMAGE ANALYSIS USING MULTI-STEP ANALYSIS - Systems and methods for implementing a multi-step image recognition framework for classifying digital images are provided. The provided multi-step image recognition framework utilizes a gradual approach to model training and image classification tasks requiring multi-dimensional ground truths. A first step of the multi-step image recognition framework differentiates a first image region from a remainder image region. Each subsequent step operates on a remainder image region from the previous step. The provided multi-step image recognition framework permits model training and image classification tasks to be performed more accurately and in a less resource intensive fashion than conventional single-step image recognition frameworks. | 04-12-2012 |
20120093396 | DIGITAL IMAGE ANALYSIS UTILIZING MULTIPLE HUMAN LABELS - Systems and methods for implementing a multi-label image recognition framework for classifying digital images are provided. The provided multi-label image recognition framework utilizes an iterative, multiple analysis path approach to model training and image classification tasks. A first iteration of the multi-label image recognition framework generates confidence maps for each label, which are shared by the multiple analysis paths to update the confidence maps in subsequent iterations. The provided multi-label image recognition framework permits model training and image classification tasks to be performed more accurately than conventional single-label image recognition frameworks. | 04-19-2012 |
20120128237 | SUPERPIXEL-BOOSTED TOP-DOWN IMAGE RECOGNITION METHODS AND SYSTEMS - Systems and methods for implementing a superpixel boosted top-down image recognition framework are provided. The framework utilizes superpixels comprising contiguous pixel regions sharing similar characteristics. Feature extraction methods described herein provide non-redundant image feature vectors for classification model building. The provided framework differentiates a digitized image into a plurality of superpixels. The digitized image is characterized through image feature extraction methods based on the plurality of superpixels. Image classification models are generated from the extracted image features and ground truth labels and may then be used to classify other digitized images. | 05-24-2012 |
20130243308 | INTEGRATED INTERACTIVE SEGMENTATION WITH SPATIAL CONSTRAINT FOR DIGITAL IMAGE ANALYSIS - An integrated interactive segmentation with spatial constraint method utilizes a combination of several of the most popular online learning algorithms into one and implements a spatial constraint which defines a valid mask local to the user's given marks. Additionally, both supervised learning and statistical analysis are integrated, which are able to compensate each other. Once prediction and activation are obtained, pixel-wised multiplication is conducted to fully indicate how likely each pixel belongs to the foreground or background. | 09-19-2013 |
20140132794 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - An image processing device includes: a determination unit determining whether each character included as a subject in a captured image is an unnoted non-main character; and a controller controlling an image-related process which is a process related to an image on the basis of a status of the character determined as a non-main character. | 05-15-2014 |