Abstract: When a processor accepts an input of plural notes to be assigned for tone generation, according to a predetermined note determining rule called “assignment type”, the processor selects one or more notes to be sounded in each of plural parts from the accepted notes. The processor controls a display unit to display, for each of the plural parts, the accepted plural notes to be assigned for tone generation. At this time, non-selected one or more notes in respective parts are displayed in one style, and the selected one or more notes in the respective parts are displayed in another style different from the one style. Alternatively, the plural notes to be assigned for tone generation are displayed in one style, and, for each of the plural parts, the selected one or more notes are displayed in another style different from the one style.

Abstract: Tone generating instructions designating one or more tone pitches are received in response to performance operation on a keyboard, for example. A plurality of assigners are provided to assign tone colors to the one or more tone pitches designated by the received tone generating instructions. The plurality of the assigners are configured to select, for each assignor, from among the one or more tone pitches designated by the one or more tone generation instructions received by a reception section, one or more target tone pitches to which the tone color is to be assigned by the assigner, and determine, for each assignor and on the basis of a priority order set for each assigner, from among the selected one or more target tone pitches, one or more tone pitches of which tones are to be generated with the tone color assigned by the assigner.

Abstract: Tone generating instructions designating one or more tone pitches are received in response to performance operation on a keyboard, for example. A plurality of assigners are provided to assign tone colours to the one or more tone pitches designated by the received tone generating instructions. The plurality of the assigners are configured to select, for each assignor, from among the one or more tone pitches designated by the one or more tone generation instructions received by a reception section, one or more target tone pitches to which the tone color is to be assigned by the assigner, and determine, for each assignor and on the basis of a priority order set for each assigner, from among the selected one or more target tone pitches, one or more tone pitches of which tones are to be generated with the tone color assigned by the assigner.

Abstract: When a processor accepts an input of plural notes to be assigned for tone generation, according to a predetermined note determining rule called “assignment type”, the processor selects one or more notes to be sounded in each of plural parts from the accepted notes. The processor controls a display unit to display, for each of the plural parts, the accepted plural notes to be assigned for tone generation. At this time, non-selected one or more notes in respective parts are displayed in one style, and the selected one or more notes in the respective parts are displayed in another style different from the one style. Alternatively, the plural notes to be assigned for tone generation are displayed in one style, and, for each of the plural parts, the selected one or more notes are displayed in another style different from the one style.

Abstract: A face image processing apparatus is capable of extracting images of nostrils and eyes accurately and at high speed without being influenced by accessory information by employing one or a plurality of two-dimensional templates each of which expresses exactly the features of the nostrils and the eyes though the amount of information thereof is small. The face image processing apparatus includes: a face image inputting element for inputting a face image; an eye area setting element for estimating an area, in which an eye candidate is present, from the inputted face image; an eye candidate extracting element for converting the eye candidate into the data having a plurality of luminance values within the eye area; and an eye deciding element for deciding eyes within the extracted candidates and their positions.

Abstract: A face image processing system capable of setting an eye detecting region with ease and high accuracy by making use of the position and the width of the nares presenting a unique shape among the face characterizing features. The system mentioned above includes a face image input means for inputting a face image, a binarizing means for binarizing the face image as inputted, a characteristic element extracting means for extracting face characterizing elements from a binary image outputted from the binarizing means, a naris extracting means for extracting nares from the characteristic elements extracted, and an eye extracting means for setting an eye detecting region with reference to a reference position provided by the nares for thereby extracting the eyes.

Abstract: The present invention provides an eye image tracking apparatus capable of tracking not only images of the eyes but also images of their periphery to accurately track the images of the eyes without erroneous detection while recognizing missing of the eyes when the eyes have been missed. The eye image tracking apparatus comprises a face image input portion 4 for inputting an image of a face, a digitalizing portion 5 for digitalizing the input image of the face, an image retrieval portion 6 for retrieving images of the eyes and their periphery within the digitalized image, and an image tracking portion 7 for tracking the retrieved images of the eyes and their periphery.

Abstract: A face image processing apparatus for use in a sleep-inhibition security system for car drivers is disclosed. The apparatus includes an input section for acquiring an input face image of a target person, an eye extraction region setter for determining an eye extraction region within the input face image, and an extractor for extracting from the eye extraction region first and second image components corresponding to an eyebrow image and an eye image respectively. A first detector is adapted to detect relative positions of the first and second image components extracted. A second detector is provided for detecting the open or closed state of at least one eye image by analyzing variations in the relative positions detected.