Patent application number | Description | Published |
20080212684 | Video Decoder with Hybrid Reference Texture - The present invention relates to a video decoder (DEC) for decoding a bit stream (BS) corresponding to pictures (P) of a video signal, the coded pictures being likely to include macroblocks coded in a progressive and in an interlaced way. The decoder includes a decoding unit (DEU) for decoding macroblocks coded in a progressive way, and a hybrid reference construction unit (HRCU) for constructing, for each reference picture, a hybrid reference texture (HRT) which has the property of representing said reference picture in a frame-based and in a field-based manner. Said hybrid reference texture is used by said decoding unit for decoding interlaced macroblocks. | 09-04-2008 |
20100135394 | DECODING METHOD AND DECODER WITH ROUNDING MEANS - The present invention relates to a video decoder (DEC) for decoding a bit stream (BS) corresponding to pictures (FR) of a video signal. The invention is such that, motion vectors (MV | 06-03-2010 |
20100135414 | MULTIPLE PASS VIDEO DECODING METHOD AND DEVICE - The present invention relates to a video decoder (DEC) for decoding a bit stream (BS) corresponding to pictures (P) of a video signal, coded pictures being likely to include macroblocks coded in a progressive and in an interlaced way, said decoder including a decoding unit (DEU) for decoding macroblocks coded in a progressive way. A video decoder according to the invention includes a decoding configuration unit (DCU) for activating said decoding unit several times for decoding a single picture and for configuring the read and/or write stride at each pass of said picture in said decoding unit. | 06-03-2010 |
20100145193 | PHASE-FREE CARDIAC ROADMAPPING - According to an exemplary embodiment of the present invention, a cardiac roadmapping technique is provided, that does not rely on the prerequisite of a phase-centric pairing of the angiogram and life images. Instead, both the pairing and accurate registration of the images are combined within a single operation, for example by using a multi-device map. This may provide for robust and precise cardiac roadmapping. | 06-10-2010 |
20120093379 | DETECTING AND DARKENING METHOD OF OBJECTS IN GREY-ACALE RASTER IMAGES - Wire tips and balloon/stent markers are the main landmarks used by cardiologists for navigation and precise stent placement under X-Ray fluoroscopy surveillance. These intra-coronary devices are semi radio-opaque. In some situations, their visibility can be extremely low. The claimed may help the cardiologists by detecting the objects and darkening them on the live X-Ray image to increase their visibility. The darkening processing takes into account the image properties around the objects or detection information in order to obtain a better contrast enhancement. This technique also avoids the introduction of disturbing artefacts when the object detection fails. | 04-19-2012 |
20130243084 | BIT RATE REGULATION MODULE AND METHOD FOR REGULATING BIT RATE - Bit rate regulation module ( | 09-19-2013 |
20140184747 | Visually-Assisted Stereo Acquisition from a Single Camera - A method is disclosed of indicating a suitable pose for a camera for obtaining a stereoscopic image, with the camera comprising an imaging sensor. The method comprises obtaining and storing a first image of a scene using the imaging sensor when the camera is in a first pose; moving the camera to a second pose; and obtaining a second image of the scene when the camera is in the second pose. One or more disparity vectors are determined, each disparity vector being determined between a feature identified within the first image and a corresponding feature identified in the second image. On the basis of the one or more disparity vectors, a determination is made of whether the second image of the scene is suitable for use, together with the first image, as a stereoscopic image pair. | 07-03-2014 |
20150043828 | METHOD FOR SEARCHING FOR A SIMILAR IMAGE IN AN IMAGE DATABASE BASED ON A REFERENCE IMAGE - A method for extracting characteristic points from an image, includes extracting characteristic points from a first image, generating for each characteristic point a descriptor with several components describing an image region around the characteristic point, and comparing two by two the descriptors of the first image, the characteristic points whose descriptors have a proximity between them greater than an ambiguity threshold, being considered ambiguous. | 02-12-2015 |