Abstract:
Methods and apparatus for implementing a technique for searching media objects. In general, in one aspect, the technique includes receiving user input specifying a plurality of reference objects, defining a set of features for them, and combining the features to generate composite reference information defining criteria for search. In general, in another aspect, the technique includes combining object information for a plurality of reference objects to produce composite reference information, comparing the composite reference information to object information for media objects in a collection of media objects, and selecting a media object based upon the comparison.
Abstract:
Dynamic motion path blur techniques are described. In one or more implementations, paths may be specified to constrain a motion blur effect to be applied to a single image. A variety of different techniques may be employed as part of the motion blur effects, including use of curved blur kernel shapes, use of a mesh representation of blur kernel parameter fields to support real time output of the motion blur effect to an image, use of flash effects, blur kernel positioning to support centered or directional blurring, tapered exposure modeling, and null paths.
Abstract:
A system and method are disclosed for simulating a sequence of discrete natural effects, each natural effect of the sequence being based on an initial natural effect, an immediately preceding natural effect, and a time interval since the immediately preceding natural effect. The initial effect is a two-dimensional simulated natural effect and wherein a last one of the second consecutive simulated natural effect is a three-dimensional simulated natural effect.
Abstract:
Natural language image tags are described. In one or more implementations, at least a portion of an image displayed by a display device is defined based on a gesture. The gesture is identified from one or more touch inputs detected using touchscreen functionality of the display device. Text received in a natural language input is located and used to tag the portion of the image using one or more items of the text received in the natural language input.
Abstract:
Natural language input processing utilizing grammar templates are described. In one or more implementations, a natural language input indicating an operation to be performed is parsed into at least one part-of-speech, a grammar template corresponding to the part-of-speech is located, an arbitrary term in the part-of-speech is detected based on the located grammar template, a term related to the arbitrary term and describing a modification for the operation is determined based on the sentence expression of the grammar template, and the indicated operation is performed with the described modification.
Abstract:
Natural language vocabulary generation and usage techniques are described. In one or more implementations, one or more search results are mined for a domain to determine a frequency at which words occur in the one or more search results, respectively. A set of the words is selected based on the determined frequency. A sense is assigned to each of the selected set of the words that identifies a part-of-speech for a respective word. A vocabulary is then generated that includes the selected set of the words and a respective said sense, the vocabulary configured for use in natural language processing associated with the domain.
Abstract:
Natural language input processing utilizing grammar templates are described. In one or more implementations, a natural language input indicating an operation to be performed is parsed into at least one part-of-speech, a grammar template corresponding to the part-of-speech is located, an arbitrary term in the part-of-speech is detected based on the located grammar template, a term related to the arbitrary term and describing a modification for the operation is determined based on the sentence expression of the grammar template, and the indicated operation is performed with the described modification.
Abstract:
Natural language image editing techniques are described. In one or more implementations, a natural language input is converted from audio data using a speech-to-text engine. A gesture is recognized from one or more touch inputs detected using one or more touch sensors. Performance is then initiated of an operation identified from a combination of the natural language input and the recognized gesture.
Abstract:
Natural language image spatial and tonal localization techniques are described. In one or more implementations, a natural language input is processed to determine spatial and tonal localization of one or more image editing operations specified by the natural language input. Performance is initiated of the one or more image editing operations on image data using the determined spatial and tonal localization.
Abstract:
Systems and methods are provided for simulating strobe effects with digital image content. In one embodiment, an image manipulation application can receive image content. The image manipulation application can generate blurred image content by applying a blurring operation to a portion of the received image content along a blur trajectory. The image manipulation application can sample pixels from multiple positions in the received image content along the blur trajectory. The image manipulation application can generate a simulated strobe images based on the sampled pixels and at least some of the blurred image content.