Abstract: Systems, methods, and computer-readable storage media are provided for aligning three-dimensional point clouds that each includes data representing at least a portion of an area-of-interest. The area-of-interest is divided into multiple regions, each region having a closed-loop structure defined by a plurality of border segments, each border segment including a plurality of fragments. Point clouds representing the fragments that make up each closed-loop region are aligned with one another in a parallelized manner, for instance, utilizing a Simultaneous Generalized Iterative Closest Point (SGICP) technique, to create aligned point cloud regions. Aligned point cloud regions sharing a common border segment portion are aligned with one another to create a single, consistent, aligned point cloud having data that accurately represents the area-of-interest.

Abstract: A method for clustering a set of web search results is disclosed. A first signature is compared based at least in part on an analysis of multimedia content associated with a first web search result with a second signature based at least in part on an analysis of multimedia content associated with a second web search result. The first web search result is clustered with the second web search result based at least in part on the comparison of the first signature with the second signature.

Abstract: A method for clustering a set of web search results is disclosed. A first signature is compared based at least in part on an analysis of multimedia content associated with a first web search result with a second signature based at least in part on an analysis of multimedia content associated with a second web search result. The first web search result is clustered with the second web search result based at least in part on the comparison of the first signature with the second signature.

Abstract: Identification of starting and ending times of commercial breaks and commercials within those commercial breaks found in audiovisual content is disclosed. A solution to a “batch optimization” problem is used in which commercial locations within a set of audiovisual content are detected as a group by choosing a set of commercial locations which optimizes a cost function which can include considerations of, for example, 1) one or more cues, 2) relative locations of commercials within the audiovisual content, and/or 3) probability models based on statistics obtained regarding characteristics of typical commercial and commercial breaks. Optimization can be done over the total set of commercial location decisions, rather than on a per-commercial basis. Additionally, the cost function can be iteratively evaluated and many more types of cues and combinations of cues can be used in detection of commercials.

Abstract: Identification of starting and ending times of commercial breaks and commercials within those commercial breaks found in audiovisual content is disclosed. A solution to a “batch optimization” problem is used in which commercial locations within a set of audiovisual content are detected as a group by choosing a set of commercial locations which optimizes a cost function which can include considerations of, for example, 1) one or more cues, 2) relative locations of commercials within the audiovisual content, and/or 3) probability models based on statistics obtained regarding characteristics of typical commercial and commercial breaks. Optimization can be done over the total set of commercial location decisions, rather than on a per-commercial basis. Additionally, the cost function can be iteratively evaluated and many more types of cues and combinations of cues can be used in detection of commercials.

Abstract: Identification of starting and ending times of commercial breaks and commercials within those commercial breaks found in audiovisual content is disclosed. A solution to a “batch optimization” problem is used in which commercial locations within a set of audiovisual content are detected as a group by choosing a set of commercial locations which optimizes a cost function which can include considerations of, for example, 1) one or more cues, 2) relative locations of commercials within the audiovisual content, and/or 3) probability models based on statistics obtained regarding characteristics of typical commercial and commercial breaks. Optimization can be done over the total set of commercial location decisions, rather than on a per-commercial basis. Additionally, the cost function can be iteratively evaluated and many more types of cues and combinations of cues can be used in detection of commercials.

Abstract: Identification of starting and ending times of commercial breaks and commercials within those commercial breaks found in audiovisual content is disclosed. A solution to a “batch optimization” problem is used in which commercial locations within a set of audiovisual content are detected as a group by choosing a set of commercial locations which optimizes a cost function which can include considerations of, for example, 1) one or more cues, 2) relative locations of commercials within the audiovisual content, and/or 3) probability models based on statistics obtained regarding characteristics of typical commercial and commercial breaks. Optimization can be done over the total set of commercial location decisions, rather than on a per-commercial basis. Additionally, the cost function can be iteratively evaluated and many more types of cues and combinations of cues can be used in detection of commercials.

Abstract: A method for clustering a set of web search results is disclosed. A first signature is compared based at least in part on an analysis of multimedia content associated with a first web search result with a second signature based at least in part on an analysis of multimedia content associated with a second web search result. The first web search result is clustered with the second web search result based at least in part on the comparison of the first signature with the second signature.

Abstract: Identification of starting and ending times of commercial breaks and commercials within those commercial breaks found in audiovisual content is disclosed. A solution to a “batch optimization” problem is used in which commercial locations within a set of audiovisual content are detected as a group by choosing a set of commercial locations which optimizes a cost function which can include considerations of, for example, 1) one or more cues, 2) relative locations of commercials within the audiovisual content, and/or 3) probability models based on statistics obtained regarding characteristics of typical commercial and commercial breaks. Optimization can be done over the total set of commercial location decisions, rather than on a per-commercial basis. Additionally, the cost function can be iteratively evaluated and many more types of cues and combinations of cues can be used in detection of commercials.

Abstract: A method for clustering a set of web search results is disclosed. A first signature is compared based at least in part on an analysis of multimedia content associated with a first web search result with a second signature based at least in part on an analysis of multimedia content associated with a second web search result. The first web search result is clustered with the second web search result based at least in part on the comparison of the first signature with the second signature.

Abstract: Identification of starting and ending times of commercial breaks and commercials within those commercial breaks found in audiovisual content is disclosed. A solution to a “batch optimization” problem is used in which commercial locations within a set of audiovisual content are detected as a group by choosing a set of commercial locations which optimizes a cost function which can include considerations of, for example, 1) one or more cues, 2) relative locations of commercials within the audiovisual content, and/or 3) probability models based on statistics obtained regarding characteristics of typical commercial and commercial breaks. Optimization can be done over the total set of commercial location decisions, rather than on a per-commercial basis. Additionally, the cost function can be iteratively evaluated and many more types of cues and combinations of cues can be used in detection of commercials.

Abstract: Identification of starting and ending times of commercial breaks and commercials within those commercial breaks found in audiovisual content is disclosed. A solution to a “batch optimization” problem is used in which commercial locations within a set of audiovisual content are detected as a group by choosing a set of commercial locations which optimizes a cost function which can include considerations of, for example, 1) one or more cues, 2) relative locations of commercials within the audiovisual content, and/or 3) probability models based on statistics obtained regarding characteristics of typical commercial and commercial breaks. Optimization can be done over the total set of commercial location decisions, rather than on a per-commercial basis. Additionally, the cost function can be iteratively evaluated and many more types of cues and combinations of cues can be used in detection of commercials.

Abstract: A method is described herein for providing a middleware framework in a multiprocessing environment having multiple processing units for developing a desired application. The method includes: receiving a selection of a plurality of task modules for developing the desired application; receiving connections between the selected task modules to form the desired application; receiving an input of a plurality of execution threads for processing through the formed application; and providing automatic global scheduling over the entire middleware framework of the plurality of execution threads by at least a) providing a job list of at least one job for execution by at least one of the plurality of execution threads, each of the at least one job is a processing of one or more data objects by an associated one of the selected task modules, and b) automatically scheduling an execution of each job in the job list by one of the plurality of execution threads based on at least one predetermined policy.

Abstract: Identification of starting and ending times of commercial breaks and commercials within those commercial breaks found in audiovisual content is disclosed. A solution to a “batch optimization” problem is used in which commercial locations within a set of audiovisual content are detected as a group by choosing a set of commercial locations which optimizes a cost function which can include considerations of, for example, 1) one or more cues, 2) relative locations of commercials within the audiovisual content, and/or 3) probability models based on statistics obtained regarding characteristics of typical commercial and commercial breaks. Optimization can be done over the total set of commercial location decisions, rather than on a per-commercial basis. Additionally, the cost function can be iteratively evaluated and many more types of cues and combinations of cues can be used in detection of commercials.