Abstract: The high-speed search matching method with a large-scale heterogeneous database includes the process of extracting and storing the user's registered image features, forming a database, and being a reference when matching and searching; The process of initializing the search engine, in which two objects in the search engine are initialized, including a matching object, calculating the distance, and a data table object to determine the target search object for each input image sample; The process of matching and searching for objects, including the process of calculating the distance between the features and determining the target array, and finally comparing and returning the final result. The proposed method has demonstrated the ability to calculate accurately as well as very high performance, especially in large-scale data processing cases.

Abstract: A first electronic device and a method for forwarding a call from a second electronic device are provided.

Abstract: A method for determining a salient object in an image based on superpixel analysis consists of initializing superpixels using SLIC algorithm and merging of adjacent superpixels that have similar color distribution. Then, calculate the spatial and color distribution correlation between the superpixels after being merged. Combined with the statistics of the occupancy rate, the distance to the original image center, and the global contrast of the superpixels, calculate the saliency evaluation vector for each superpixel. Finally, interpolate the saliency for each pixel in the superpixel.

Abstract: The high-speed search matching method with a large-scale heterogeneous database includes the process of extracting and storing the user's registered image features, forming a database, and being a reference when matching and searching; The process of initializing the search engine, in which two objects in the search engine are initialized, including a matching object, calculating the distance, and a data table object to determine the target search object for each input image sample; The process of matching and searching for objects, including the process of calculating the distance between the features and determining the target array, and finally comparing and returning the final result. The proposed method has demonstrated the ability to calculate accurately as well as very high performance, especially in large-scale data processing cases.

Abstract: A first electronic device and a method for forwarding a call from a second electronic device are provided.

Abstract: A method for determining a salient object in an image based on superpixel analysis consists of initializing superpixels using SLIC algorithm and merging of adjacent superpixels that have similar color distribution. Then, calculate the spatial and color distribution correlation between the superpixels after being merged. Combined with the statistics of the occupancy rate, the distance to the original image center, and the global contrast of the superpixels, calculate the saliency evaluation vector for each superpixel. Finally, interpolate the saliency for each pixel in the superpixel.