Patent application number | Description | Published |
20120075480 | VIDEO TESTING SYSTEM AND METHOD - A video testing system tests the performance of a video player. The video player plays a predetermined video having video characteristics that correspond to the to-be-tested performance of the video player. The testing system includes a capturing member, a decomposition unit, an analysis unit, and a determination unit. The capturing member captures the video played by the video player. The decomposition unit decomposes the captured video into a sequence of frames according to a predetermined playback speed of the video player. The analysis unit selects frames of the captured video, and compares the selected frames to analyze video characteristic parameters of the captured video. The determination unit determines whether there is a difference between the video characteristic parameters of the captured video and standard characteristic parameters of the predetermined video is below a predetermined range to obtain the performance of the video player. | 03-29-2012 |
20120170866 | ELECTRONIC DEVICE AND IMAGE COMPARISON METHOD THEREOF - The disclosure relates to an electronic device with image comparison function and an image comparison method utilized in the electronic device. The method includes loading a multimedia file in response to a first input signal and processing the multimedia file to form a two-dimensional array of each image and generate pixels of each image, acquiring a selection reference value in response to a second input signal and selecting an image comparison algorithm according to the acquired selection reference value, and comparing with the pixels of two adjacent images according to the selected image comparison algorithm and obtaining a comparison result. | 07-05-2012 |
20130173251 | ELECTRONIC DEVICE AND NATURAL LANGUAGE ANALYSIS METHOD THEREOF - A natural language analysis method for an electronic device is provided. The language analysis method includes the steps of: receiving user inputs and generating signals; converting signals into textual information; segmenting the textual information into a number of vocabulary segments, each vocabulary segment including a number of separated vocabularies; retrieving the use frequency of each of vocabulary, sorting the vocabulary segments, and obtaining a first sorting of the number of vocabulary segments into descending order; segmenting the textual information into a number of sentence segmentations; obtaining a second sorting of the vocabulary segmentations, according to the number of sentence segmentations and the number of vocabulary segment results; and determining a reply to the textual information, according to the topmost result after the second sorting. An electronic device using the language analysis method is also provided. | 07-04-2013 |
20130173252 | ELECTRONIC DEVICE AND NATURAL LANGUAGE ANALYSIS METHOD THEREOF - A language analysis method for an electronic device storing a basic corpus and a temporary corpus is provided. The language analysis method includes steps of receiving user inputs and generating signals; converting signals into textualized information; analyzing the textualized information; obtaining a first understanding result according to the basic corpus, the vocabulary segmentation results, and the sentence segmentation results; determining whether the first understanding result is an appropriate understanding according to the context; determining one or more anaphoric vocabularies when the first understanding result is an inappropriate understanding; determining a temporary understanding result of the one or more anaphoric vocabularies and a second understanding result of the textualized information according to the context; and determining a reply for the textualized information, according to the second understanding result, the basic corpus, and the temporary corpus. An electronic device using the language analysis method is also provided. | 07-04-2013 |
20130232139 | ELECTRONIC DEVICE AND METHOD FOR GENERATING RECOMMENDATION CONTENT - An electronic device includes a database, a display, and several program modules executable by a processor. The program modules include a query receiving module to receive a search query from a user, a query analyzing module to analyze the received search query and determine a content of interest associated with the search query and associated content associated with the content of interest. Also include are a search module to search for the content of interest and associated content associated with the content of interest in the database, a sorting module to sort the search results retrieved by the search module according to the number of times that the search has been conducted before, and a result presenting module to present the sorted search results according to a screen size of the display. | 09-05-2013 |
20130242200 | MEASURING DEVICE AND METHOD FOR CALCULATING RESPONSE TIME OF ELECTRONIC DEVICE - A method for calculating response time of an electronic device is provided. The method includes: obtaining a video file recording a process of change of interface displayed from an original interface to a new interface chosen by a user, the video file comprises a series of video frames; searching for a key video frame among all the video frames of the video file, the image of the key video frame indicates the point of demarcation between the original interface and the new interface displayed; and calculating a time interval from a first video frame of the video file to the key video frame, according to timestamps of the first video frame and of the key video frame, so as to determine the actual response time of the electronic device. A related measuring device is also provided. | 09-19-2013 |
20130251190 | DEVICE AND METHOD FOR EMBEDDING WATERMARK INTO IMAGE - A method of embedding a binary watermark into an image and a computer applied such are disclosed. The binary watermark is transformed to a watermark sequence consisting of K binary numbers and the image is converted into a grayscale image, being segmented into several sections. K sections are selected randomly while each selected section corresponds to one of the binary numbers of the watermark sequence. In relation to each selected section, a sum of a first part of the pixels and a sum of a second part of the pixels is compared. Each of the selected sections having their result of comparison being made to correspond to corresponding binary number in accordance with a predefined correlation results in the binary watermark being embedded into the image. | 09-26-2013 |
20130262090 | SYSTEM AND METHOD FOR REDUCING SEMANTIC AMBIGUITY - A semantic ambiguity reduction system deconstructs the sentence into a number of basic word units according to predetermined word definitions and semantic logic rules. The semantic ambiguity reduction system acquires the semantic judgments based on the basic word units and the semantic logic rules, stores the semantic judgment if only one semantic judgment of the sentence is acquired, and determines a number of keywords of a semantic ambiguity if more than one semantic judgment is acquired. The semantic ambiguity determines critical information by searching the keywords in the word definitions and the semantic judgments being stored, and selects one semantic judgment from the more than one semantic judgment about the sentence according to the critical information. | 10-03-2013 |
20140358622 | WORK STATION ARRANGEMENT SYSTEM AND METHOD - A system for arranging work stations arranges a number of work stations of different types in a predetermined area, and calculates a number of each type of work station to ensure that a total production efficiency of each type of work station can reach a predetermined production efficiency. | 12-04-2014 |
20140376882 | COMPUTING DEVICE WITH VIDEO ANALYZING FUNCTION AND VIDEO ANALYZING METHOD - A computer-implemented video analyzing method includes dividing a video into a plurality of sections. The similarity value of the first frame and the last frame of each section is greater than zero. A representative frame is selected from each section, and the similarity value of each two representative frames is computed. Two sections the similarity of whose representative frames is the greatest are combined into one section. The recording time of the first frame and the recording time of the last frame of each section is determined if the similarity value of representative frames of each two adjacent sections is zero. | 12-25-2014 |