Abstract: Systems and methods for determining dimensions of an object using a digital image. In particular, systems and methods for determining an actual dimension of a target object using a digital image of that object along with a reference object are disclosed. The digital image may be of a mirrored reflection of the reference object and the target object.

Abstract: Systems and methods for determining dimensions of an object using a digital image. In particular, systems and methods for determining an actual dimension of a target object using a digital image of that object along with a reference object are disclosed. The digital image may be of a mirrored reflection of the reference object and the target object.

Abstract: Systems and methods for determining one or more dimensions of an object using a digital image are described.

Abstract: Methods and apparatus to generate templates from web images for searching an image database are described. In one embodiment, one or more retrieved images (e.g., from the Web) may be used to generate one or more templates. The templates may be used to search an image database based on features commonly shared between sub-images of the retrieved images. Other embodiments are also described.

Abstract: Systems and methods for determining one or more dimensions of an object using a digital image are described.

Abstract: A processing system may receive an example image for use in querying a collection of digital images. The processing system may use local and global feature descriptors to perform a content-based image comparison of the digital images with the example image, to automatically rank the digital images with respect to similarity to the example image. A local feature descriptor may represent a portion of the contents of a digital image. A global feature descriptor may represent substantially all of the contents of that digital image. The global feature descriptor may be content based, not keyword based. Intermediate and final classifiers may be used to perform the automatic ranking. Different intermediate classifiers may generate intermediate relevance metrics with respect to different modalities. The final classifier may use results from the intermediate classifiers to produce a final relevance metric for the digital images. Other embodiments are described and claimed.

Abstract: Methods and apparatus to generate templates from web images for searching an image database are described. In one embodiment, one or more retrieved images (e.g., from the Web) may be used to generate one or more templates. The templates may be used to search an image database based on features commonly shared between sub-images of the retrieved images. Other embodiments are also described.

Abstract: A compiler or runt-time system may determine a prefetch point to insert an instruction in order to prefetch a memory location and thereby reduce latency in accessing information from a cache. A prefetch predictor generator may decide where and whether to insert the appropriate instructions by looking at information from a hardware monitor. For example, information about cache misses may be analyzed. The differences between target addresses of those cache misses for different instructions may be determined. This information may also be used to determine the locations in the program where the prefetch instructions should be placed, as well as to calculate the address of the memory location being prefetched.

Abstract: A method, apparatus and system including determining a distance between centers of at least two consecutive histogram bins, comparing the distance with a selected threshold value, determining major execution phases of an executable process based on the comparison, and filtering each buffer of sequenced buffers to detect hot buffers.

Abstract: Methods, systems, and apparatus are provided to separate and evaluate audio and video. Audio and video are captured; the audio is evaluated to detect one or more speakers speaking. Visual features are associated with the speakers speaking. The audio and video are separated and corresponding portions of the audio are mapped to the visual features for purposes of isolating audio associated with each speaker and for purposes of filtering out noise associated with the audio.

Abstract: A method, apparatus and system including selecting a phase threshold value, receiving a plurality of sequenced buffers, determining a distance between centers of at least two consecutive histogram bins, comparing the distance with the selected threshold value, and determining major execution phases of an executable process based on the comparison.

Abstract: In one embodiment, the present invention includes a method of modeling an audio-visual observation of a subject using a coupled Markov model to obtain an audio-visual model; modeling the subject's face using an embedded Markov model to obtain a face model; and determining first and second likelihoods of identification based on the audio-visual model and the face model. The two likelihoods may then be combined to identify the subject.

Abstract: A phoneme and a viseme of a person may be modeled using a coupled hidden Markov model. The coupled hidden Markov model and a second model may be compared to identify the person.