Abstract:
A method (500) for segmenting an image comprises the step of identifying (502) one or more regions in the image. The method further comprises the steps of applying a single embedded surface for a Level Sets representation of said image; and performing region control logic (504) to enable said Level Sets, reresentation to manipulate one or more region boundaries in order to segment said image. This provides a method by which unsupervised image segmentation can be performed on an arbitrary number of classes/objects in the image.
Abstract:
A proxy server (136) for a multimedia communication system (100), includes a receiver (240) receiving a multiplexed information stream transmitted from a source communication unit (402, 406) to a destination communication unit (406, 402); and a processor for de-multiplexing the received multiplexed information stream and extracting non-real-time data from the multiplexed information stream. The proxy server (136) further includes error detection means, operbly coupled to a transmitter and a memory element, for determining whether an error exists in the extracted non-real-time data. if an error is detected, then a non-real-time data re-transmission request is transmitted to the source communication unit. If an error is not detected then a copy of the extracted non-real-time data is stored in said memory element. A method (400, 500) for delivering a muliplexed information stream, a communication system and a storage medium are also provided. The multiplexed packed is forwarded immediately to the receiving node as well as being processed to see if there are any errors in the non-real time streams. This ensures non-real-time multiplexed multimedia streams are communicated with minimum delay in an end-to end communication link.
Abstract:
A method and apparatus for ranking pixels in an image by degrees of saliency, including: defining (200, 210) a plurality of regions for each of a plurality of pixels in an image, where each of the regions for any one of the pixels at coordinates (x,y) has a different scale s, calculating (230) an thropy value for each of the regions, identifying (260) any of the regions as having a peak entropy value, wighting (270) the peak entropy value of each of the peak entropy regions by a weight value corresponding to a peak width esimate of the peak entropy value, and randking (290) the regions by the weighted peak entropy values, thereby ranking the pixels.The invention can be included in a method and apparatus for image transmission, providing preferential transmission of salient portions of the image. This is particularly advantageous in image transmission over radio links of limited bandwith.
Abstract:
A method (500) for segmenting an image comprises the step of identifying (502) one or more regions in the image, by applying a single embedded surface for a Level Sets representation of said image, and performing region control logic (504) to enable said Level Sets representation to manipulate one or more region boundaries in order to segment said image. This provides a method by which unsupervised image segmentation can be performed on an arbitrary number of classes/objects in the image.
Abstract:
A method and apparatus for ranking pixels in an image by degrees of saliency, including: defining ( 200, 210 ) a plurality of regions for each of a plurality of pixels in an image, where each of the regions for any one of the pixels at coordinates (x,y) has a different scale s, calculating ( 230 ) an entropy value for each of the regions, identifying ( 260 ) any of the regions as having a peak entropy value, weighting ( 270 ) the peak entropy value of each of the peak entropy regions by a weight value corresponding to a peak width estimate of the peak entropy value, and ranking ( 290 ) the regions by the weighted peak entropy values, thereby ranking the pixels. The invention can be included in a method and apparatus for image transmission, providing preferential transmission of salient portions of the image.
Abstract:
A method and apparatus for ranking pixels in an image by degrees of saliency, including: defining (200, 210) a plurality of regions for each of a plurality of pixels in an image, where each of the regions for any one of the pixels at coordinates ( x,y ) has a different scale s , calculating (230) an entropy value for each of the regions, identifying (260) any of the regions as having a peak entropy value, weighting (270) the peak entropy value of each of the peak entropy regions by a weight value corresponding to a peak width estimate of the peak entropy value, and ranking (290) the regions by the weighted peak entropy values, thereby ranking the pixels. The calculating step may comprise calculating a probability density function estimate using either a Parzen window PDF estimator or histogram binning. The invention can be included in a method and apparatus for image transmission, providing preferential transmission of salient portions of the image. This is particularly advantageous in image transmission over radio links of limited bandwidth.
Abstract:
A method (400) for identifying a feature in an image includes the steps of defining (410) a plurality of saliency values of an image or set of images over multiple parameters and calculating (414) an entropy value for each of the saliency values over substantially each of the multiple parameters. One or more peak entropy values are determined (430, 432) for the image or set of images based on the calculated entropy values. A feature of the image or set of images is identified (454), based on the weighted peak entropy value. An image transmission device, image transmission unit and image transmission system are also described. This provides a method and apparatus for extending scale definition to multiple parameters, thereby generalising the structures that can be identified, for example, to identify anisotropic regions.