Abstract: A Visual Thesaurus program is provided that allows a user to find media clips through successive queries by example. Clips similar to the example clip may be retrieved based on artistic style, color and shape, or keywords. Clips retrieved based on keywords may be found based on a single keyword, multiple keywords, or all keywords associated with the example clip. The keyword may be the clip format (e.g., “mpeg” or “gif”).

Abstract: Media clips on a hard drive or other storage are automatically organized in collections and metadata automatically assigned to facilitate subsequent searching for media clips. A Clip Organizer software application initially scans a user's hard drive to identify folders containing user files of sound, picture, clip art, video and other media clips. Predefined types of folders are omitted in the scan to avoid identifying media clips that do not belong to the user or are part of another application program. A partially “flattened” collection hierarchy is created to simplify browsing the media clips. Sufficient empty files are included to enable a user to readily locate the collections, and metadata comprising keywords derived from the path of each media clip are associated with each of the media clips to facilitate subsequent searching for the files. In addition, the collection hierarchy is automatically updated as changes are made.

Abstract: A method and system that allows a user to find images using a query by example is disclosed. Images similar to the selected image are retrieved based on color or shape. Each clip in a clip catalog is assigned a color metric and a wavelet, i.e., shape, metric. The selected clip is also assigned a color metric and a wavelet metric. Those clips that are most similar based on either the wavelet metric or the color metric are returned to the user.

Abstract: A style identifier is associated with each of a plurality of media clips stored in a database, based on a subjective evaluation of various characteristics of each media clip by an expert. The style represented by the style identifier corresponds to an impression on the expert regarding various qualities of the media clip and is not constrained by the subject of the media clip. Media clips with which style identifiers are associated can be any form of digital media, such as clip art files, sound files, photographs, animation files, fonts, etc. Also associated with each media clip in the database is an absolute ranking value for each of a plurality of different attributes based on a subjective evaluation of each media clip by an expert. A user can search the database for media clips associated with a specific style identifier and can sort the media clips that were identified by a search, based upon the absolute ranking value for a selected attribute.

Abstract: A method and system that allows a user to find images using a query by example is disclosed. Images similar to the selected image are retrieved based on color or shape. Each clip in a clip catalog is assigned a color metric and a wavelet, i.e., shape, metric. The selected clip is also assigned a color metric and a wavelet metric. Those clips that are most similar based on either the wavelet metric or the color metric are returned to the user.

Abstract: Media clips on a hard drive or other storage are automatically organized in collections and metadata automatically assigned to facilitate subsequent searching for media clips. A Clip Organizer software application initially scans a user's hard drive to identify folders containing user files of sound, picture, clip art, video and other media clips. Predefined types of folders are omitted in the scan to avoid identifying media clips that do not belong to the user or are part of another application program. A partially “flattened” collection hierarchy is created to simplify browsing the media clips. Sufficient empty files are included to enable a user to readily locate the collections, and metadata comprising keywords derived from the path of each media clip are associated with each of the media clips to facilitate subsequent searching for the files. In addition, the collection hierarchy is automatically updated as changes are made.

Abstract: Media clips on a hard drive or other storage are automatically organized in collections and metadata automatically assigned to facilitate subsequent searching for media clips. A Clip Organizer software application initially scans a user's hard drive to identify folders containing user files of sound, picture, clip art, video and other media clips. Predefined types of folders are omitted in the scan to avoid identifying media clips that do not belong to the user or are part of another application program. A partially “flattened” collection hierarchy is created to simplify browsing the media clips. Sufficient empty files are included to enable a user to readily locate the collections, and metadata comprising keywords derived from the path of each media clip are associated with each of the media clips to facilitate subsequent searching for the files. In addition, the collection hierarchy is automatically updated as changes are made.

Abstract: A method and system that allows a user to find images using a query by example is disclosed. Images similar to the selected image are retrieved based on color or shape. Each clip in a clip catalog is assigned a color metric and a wavelet, i.e., shape, metric. The selected clip is also assigned a color metric and a wavelet metric. Those clips that are most similar based on either the wavelet metric or the color metric are returned to the user.

Abstract: A method and system that allows a user to find images using a query by example is disclosed. Images similar to the selected image are retrieved based on color or shape. Each clip in a clip catalog is assigned a color metric and a wavelet, i.e., shape, metric. The selected clip is also assigned a color metric and a wavelet metric. Those clips that are most similar based on either the wavelet metric or the color metric are returned to the user.

Abstract: A method for controlling the level of detail displayed in a computer generated screen display of a complex structure in which the structure is modeled as a root volume bounding all of the parts of the structure, with the individual parts comprising sub-objects bounded in sub-volumes. The method begins by selecting the root volume (202) and then enters the step of determining whether or not all sub objects within the selected volume are turned off (204). If they are, the entire display is culled. If they are not, the system then computes the screen coordinates of the selected volume (208). The method proceeds to the step of determining whether or not the selected volume is on the screen or off. If it is off the screen, the entire volume is culled. If it is on screen, however, a determination is made as to whether or not all sub-objects are turned on (214). If all sub-objects are turned on, the number of screen pixels for the selected volume is computed (216).

Abstract: Disclosed is a method for processing an arbitrary collection of objects, forming a complex structure, into a hierarchy of bounding volumes, from a root volume bounding all objects, to sub-volumes bounding individual objects or assemblies thereof, for use as successive approximations to said objects in a computer generated display. The method includes the first step of creating a bounding volume for each of the objects. Selected bounding volumes are then processed through a combining algorithm determining whether or not, based upon a geometric relationship between the bounding volumes and the higher level, root volume, the selected bounding volumes can be combined. If it is determined that the bounding volumes can be combined, a new bounding volume is created with the combined volumes comprising sub-volumes thereof. This process systematically repeats and attempts to combine all sub-volumes.

Abstract: A method is described which smoothly maintains a vertical orientation of a user during a computer animation while avoiding both vertical and disorientation effects. The method includes the steps of:a) setting initial look, L, up, U, and vertical, V, directions for an initial computer generated scene;b) determining the current look, L, direction based on user input;c) determining the weighted average of the up and vertical directions in accordance with:.alpha.V+(1-.alpha.) V,where .alpha. is a predetermined value between zero and one;d) setting a new horizontal H' direction in accordance with:H'=L' [.alpha.V+(1-.alpha.) V];e) setting a new vertical V' direction in accordance with:V'=H' L';andf) redrawing the computer generated scene in accordance with the new horizontal and vertical directions H', V', respectively.