Abstract:
A method for compression and/or decompression of bio-medical images such as DNA sequencing images is provided. The method comprises regeneration of a complete image using multiple distribution functions generated on the fly. The compression ratio achieved is in the order of 10 to 20 times, and is near lossless with respect to the clinically relevant information; which makes it well suited for these DNA sequencing images.
Abstract:
The present disclosure is directed to new methods and systems performing flexible and reversible modification of DNA in order to establish the logical value of true or false for a set of clauses. It combines both the biological meaning and experimental procedure with the logical implementation of the basic Boolean operators: OR, AND, and NOT. A feature of methylation logic is the use of the reversibility of DNA methylation of cytosine and adenine. Logic variables can be negated by reversing the DNA methylation status. Four implementation scenarios are described: three of them use methyl-sensitive restriction enzymes and the fourth uses methyl-binding proteins. Encoding can use either single or double stranded DNA. In addition, the disclosure allows for solving a multi- variable SAT problems by implementing a logic circuit.
Abstract:
A system and method are provided for the alignment of intrinsic and extrinsic audio-visual information using classifications of the information and is particularly useful for aligning intrinsic and extrinsic information of different languages. The system comprises an intrinsic content analyser (2,3) that is communicatively connected to an audio-visual source (1), such as a film source that may be in a dubbed language. The film is searched for intrinsic data that is extracted and classified. Further, the system comprises an extrinsic content analyser (5,6) communicatively connected to an extrinsic information source (4), such as an original language film screenplay available through the Internet. The system searches the extrinsic information source, retrieves and then classifies the extrinsic information. The intrinsic and extrinsic information is aligned by correlating (7) the classifications to provide a multi-source data structure. The correlation is independent of the language of the intrinsic and the extrinsic information.
Abstract:
A video processing system is configured to process videos (150) related to activities of a user, to identify events (260) that facilitate the organization and storage of the videos (152, 154, 156) for subsequent recall. Preferably, the user wears one or more camera devices (110) that continuously record the activities of the user. Processing elements (120) analyze the recorded videos to recognize events, such as a greeting with another person. The recognized events (240, 250) are used to index or otherwise organize the videos to facilitate recollection (160), such as recalling "people I met today", or answering queries such as "when did I last speak to Wendy?" The topic of recorded conversations can also be used to characterize events, as well as the recognition of key words or phrases. A hierarchy of archives is used to organize events and corresponding videos on a daily, weekly, monthly, and yearly basis.
Abstract:
There is provided an apparatus (100) for indexing video data objects (110), said apparatus (100) comprising an input (110) for receiving the video data objects, and a processor (150, 160, 170, 180) for analyzing the video data objects (110) to identify therefrom occurrences of different categories of shots or segments (10, 20, 30) therein, each shot or segment (10, 20, 30) comprising a sequence of one or more images, each shot or segment (10, 20, 30) being identified in response to image feature content of its one or more images, said processor (150, 160, 170, 180) being operable to process the video data objects (110) based on at least the occurrences of the different categories of shots or segments (10, 20, 30) to provide video index classifications of the video data objects (110).
Abstract:
A content maintenance system uses a time-dependent precipitation function for iteratively augmenting or removing content over time, after an initial demonstration of user interest. A plurality of parallel precipitation processes can be launched simultaneously in response to different facets of a user expression of interest. Precipitation is dependent on highlighting or extracting segment descriptors (302) from content of interest to the user. Then segments are filtered, rated, annotated and/or prioritized from that content (303,304). The remaining segments are matched (305) against stored search structures (212). When the segments match, they are precipitated out (306,307) for storage and can generate new search structures.
Abstract:
An information tracking device receives content data, such as a video or television signal from one or more information sources and analyzes the content data according to a query criteria to extract relevant stories. The query criteria utilizes a variety of information, such as but not limited to a user request, a user profile, and a knowledge base of known relationships. Using the query criteria, the information tracking device calculates a probability of a person or event occurring in the content data and spots and extracts stories accordingly. The results are index, ordered, and then displayed on a display device.
Abstract:
A content-based classification system is provided that detects the presence of object images within a frame and determines the path, or trajectory, of each object image through multiple frames of a video segment. In a preferred embodiment, face objects and text objects are used for identifying distinguishing object trajectories. A combination of face, text, and other trajectory information is used in a preferred embodiment of this invention to classify each segment of a video sequence. In one embodiment, a hierarchical information structure is utilized to enhance the classification process. At the upper, video, information layer, the parameters used for the classification process include, for example, the number of object trajectories of each type within the segment, an average duration for each object type trajectory, and so on. At the lowest, model, information layer, the parameters include, for example, the type, color, and size of the object image corresponding to each object trajectory. In an alternative embodiment, a Hidden Markov Model (HMM) technique is used to classify each segment into one of a predefined set of classifications, based on the observed characterization of the object trajectories contained within the segment.
Abstract:
In a television receiver having Picture-In-Picture (PIP), a controller analyzes the content of a video signal forming a main picture, and automatically adjusts the size and position of a PIP image to correspond to regions of the main picture exhibiting the least amount of motion, texture, and/or a repeating texture. The controller also prevents the PIP image from being positioned over text or faces or other important objects in the main picture.