A method for searching images, comprising: receiving an input query image; extracting visual features from the input query image; determining similarities of the visual features of the query image and visual features of images in an image database, comprising: calculating the similarities of the visual features of the query image and the visual features of the images based on a global color distribution of the query image and global color distributions of the images to obtain a first set of images, wherein an image of the first set of images has a similarity to the query image exceeding a first threshold; calculating a similarity of a global edge feature of the query image and a global edge feature of images in the first image set to obtain a second set of images, wherein an image of the second set of images has a s similarity to the query image exceeding a second threshold; and calculating a similarity of a local rotation invariant feature of the query image and a local rotation invariant feature of images in the second image set to obtain a third set of images, wherein an image of the third set of images has a similarity to the query image exceeding a third threshold; determining category information, descriptive information, or a combination thereof associated with the query image based on category information, descriptive information, or a combination thereof of business objects corresponding to images of the third set of images; conducting searches of the image database based on the query image and the category information, the descriptive information, or a combination thereof associated with the query image; and returning search results. receiving an input query image; extracting visual features from the input query image; determining similarities of the visual features of the query image and visual features of images in an image database, comprising: calculating the similarities of the visual features of the query image and the visual features of the images based on a global color distribution of the query image and global color distributions of the images to obtain a first set of images, wherein an image of the first set of images has a similarity to the query image exceeding a first threshold; calculating a similarity of a global edge feature of the query image and a global edge feature of images in the first image set to obtain a second set of images, wherein an image of the second set of images has a s similarity to the query image exceeding a second threshold; and calculating a similarity of a local rotation invariant feature of the query image and a local rotation invariant feature of images in the second image set to obtain a third set of images, wherein an image of the third set of images has a similarity to the query image exceeding a third threshold; calculating the similarities of the visual features of the query image and the visual features of the images based on a global color distribution of the query image and global color distributions of the images to obtain a first set of images, wherein an image of the first set of images has a similarity to the query image exceeding a first threshold; calculating a similarity of a global edge feature of the query image and a global edge feature of images in the first image set to obtain a second set of images, wherein an image of the second set of images has a s similarity to the query image exceeding a second threshold; and calculating a similarity of a local rotation invariant feature of the query image and a local rotation invariant feature of images in the second image set to obtain a third set of images, wherein an image of the third set of images has a similarity to the query image exceeding a third threshold; determining category information, descriptive information, or a combination thereof associated with the query image based on category information, descriptive information, or a combination thereof of business objects corresponding to images of the third set of images; conducting searches of the image database based on the query image and the category information, the descriptive information, or a combination thereof associated with the query image; and returning search results.