Abstract: A small wearable recall device is provided to capture images triggered by a combination of a detection of a capture condition (e.g., changes in motion, temperature or light level) followed by a relatively stable period, as detected by an accelerometer. By triggering on the combination of a detected capture condition followed by a detected stability condition, a clearer image of the environment of an interesting event is expected to be captured. The small size of the recall device makes it possible to integrate it into common portable consumer products, such as MP3 players, purses, clothing, hats, backpacks, necklaces, collars, and other human-wearable products.

Abstract: A small wearable recall device is provided to capture images triggered by a combination of a detection of a capture condition (e.g., changes in motion, temperature or light level) followed by a relatively stable period, as detected by an accelerometer. By triggering on the combination of a detected capture condition followed by a detected stability condition, a clearer image of the environment of an interesting event is expected to be captured. The small size of the recall device makes it possible to integrate it into common portable consumer products, such as MP3 players, purses, clothing, hats, backpacks, necklaces, collars, and other human-wearable products.

Abstract: A technique is provided for classifying images in a library (1) for subsequent selective retrieval. Each library image is segmented (2) into a plurality of coherent regions. Each of the regions is analysed in respect of a plurality of visual properties, each of which is ascribed a number according to the value of the visual property. The property numbers are then compared (4) with bands of the available property range and a computer-readable character, such as a letter of the alphabet, is ascribed to each of the property values. The characters are then arranged (5) in a predetermined order to form a region character string. The strings for each region are then indexed (7) to form an index (8) of the images by region character string. For image retrieval, a target image (10) is analysed in the same way to form region character strings which are then supplied to a text retrieval system (12) for detecting matches with entries in the index (8).

Abstract: A technique is provided for classifying images in a library (1) for subsequent selective retrieval. Each library image is segmented (2) into a plurality of coherent regions. Each of the regions is analysed in respect of a plurality of visual properties, each of which is ascribed a number according to the value of the visual property. The property numbers are then compared (4) with bands of the available property range and a computer-readable character, such as a letter of the alphabet, is ascribed to each of the property values. The characters are then arranged (5) in a predetermined order to form a region character string. The strings for each region are then indexed (7) to form an index (8) of the images by region character string. For image retrieval, a target image (10) is analysed in the same way to form region character strings which are then supplied to a text retrieval system (12) for detecting matches with entries in the index (8).

Abstract: A technique is provided for classifying images in a library (1) for subsequent selective retrieval. Each library image is segmented (2) into a plurality of coherent regions. Each of the regions is analysed in respect of a plurality of visual properties, each of which is ascribed a number according to the value of the visual property. The property numbers are then compared (4) with bands of the available property range and a computer-readable character, such as a letter of the alphabet, is ascribed to each of the property values. The characters are then arranged (5) in a predetermined order to form a region character string. The strings for each region are then indexed (7) to form an index (8) of the images by region character string. For image retrieval, a target image (10) is analysed in the same way to form region character strings which are then supplied to a text retrieval system (12) for detecting matches with entries in the index (8).

Abstract: A technique is provided for classifying images in a library (1) for subsequent selective retrieval. Each library image is segmented (2) into a plurality of coherent regions. Each of the regions is analyzed in respect of a plurality of visual properties, each of which is ascribed a number according to the value of the visual property. The property numbers are then compared (4) with bands of the available property range and a computer-readable character, such as a letter of the alphabet is ascribed to each of the property values. The characters are then arranged (5) in a predetermined order to form a region character string. The strings for each region are then indexed (7) to form an index (8) of the images by region character string. For image retrieval, a target image (10) is analyzed in the same way to form region character strings which are then supplied to a text retrieval system (12) for detecting matches with entries in the index (8).

Abstract: A method for encoding digital information to be transmitted from a first device to a second device, wherein the digital information is mapped according to a map of n rows and m columns which define a plurality of cells (n×m) and wherein each of said cells has a pixel value. The method is useful for compressing bitmapped images to be rendered by the simplest of graphics engines. Thus the method is particularly suited to the transmission of images to a relatively slow client on which the images are to be rendered in real time and on which any complex decompression would be too costly for such rendering. Raw compression ratios are comparable to those obtained with standard runlength encoding, but the number of drawing primitive calls required to render the compressed images directly is substantially less. If the size of the largest area exceeds predetermined limits it is subdivided into smaller areas automatically without having to specify the size and position.

Abstract: A method for encoding digital information to be transmitted from a first device to a second device, wherein the digital information is mapped according to a map of n rows and m columns which define a plurality of cells (n×m) and wherein each of said cells has a pixel value. The method is useful for compressing bitmapped images to be rendered by the simplest of graphics engines. Thus the method is particularly suited to the transmission of images to a relatively slow client on which the images are to be rendered in real time and on which any complex decompression would be too costly for such rendering. Raw compression ratios are comparable to those obtained with standard run-length encoding, but the number of drawing primitive calls required to render the compressed images directly is substantially less.

Abstract: A method for encoding digital information to be transmitted from a first device to a second device, wherein the digital information is mapped according to a map of n rows and m columns which define a plurality of cells (n×m) and wherein each of said cells has a pixel value. The method is useful for compressing bitmapped images to be rendered by the simplest of graphics engines. Thus the method is particularly suited to the transmission of images to a relatively slow client on which the images are to be rendered in real time and on which any complex decompression would be too costly for such rendering. Raw compression ratios are comparable to those obtained with standard run-length encoding, but the number of drawing primitive calls required to render the compressed images directly is substantially less.

Abstract: A method for encoding digital information to be transmitted from a first device to a second device, wherein the digital information is mapped according to a map of n rows and m columns which define a plurality of cells (n×m) and wherein each of said cells has a pixel value. The method is useful for compressing bitmapped images to be rendered by the simplest of graphics engines, Thus the method is particularly suited to the transmission of images to a relatively slow client on which the images are to be rendered in real time and on which any complex decompression would be too costly for such rendering. Raw compression ratios are comparable to those obtained with standard run-length encoding, but the number of drawing primitive calls required to render the compressed images directly is substantially less.