Abstract: The present disclosure relates to a media retrieval method and apparatus, wherein the method comprising: acquiring a media feature of a query media as a first media feature which contains a plurality of first media feature units; performing, according to each individual of the first media feature unit, a first ranking on a plurality of existing media, and taking, according to a result of the first ranking, first k existing media as a first candidate media set, where k is a positive integer; and performing, according to the plurality of the first media feature units arranged in sequence, a second ranking on the first candidate media set, and taking, according to a result of the second ranking, first n first candidate media as a retrieval result, where n is a positive integer.

Abstract: The disclosure is related to a method and device for comparing media features, the method comprising: obtaining first media feature sequences of a first media object and second media feature sequences of a second media object, the first media feature sequence comprises a plurality of first media feature units arranged in sequence, and the second media feature sequence comprises a plurality of second media feature units arranged in sequence; determining unit similarities between the first media feature units and the second media feature units; determining a similarity matrix between the first media feature sequences and the second media feature sequences according to the unit similarities; determining a similarity of the first media object and the second media object according to the similarity matrix.

Abstract: A video feature extraction method and device are provided. The method includes extracting one or more frames from a video object to obtain one or more frames of images; stage-by-stage processing each of the one or more frames of images by multi-typed pooling processes to obtain an image feature of the one or more frames of images; and determining a video feature according to the image feature of the one or more frames of images. The multi-typed pooling processes include a maximum pooling process, a minimum pooling process and an average pooling process.

Abstract: The present invention relates to a method and a device for determining a duplicate video, wherein the method comprises: acquiring multiple types of video features of a query video; according to the multiple types of video features of the query video, sequentially comparing a plurality of existing videos respectively to obtain a sequence comparison result; performing a first ranking on the plurality of existing videos according to the sequence comparison result, and taking first n existing videos as first candidate videos according to a result of the first ranking, where n is a positive integer; and determining a duplication level of the query video according to the sequence comparison result of the first candidate videos.

Abstract: A video feature extraction method and device are provided. The method includes extracting one or more frames from a video object to obtain one or more frames of images, obtaining one or more shift vectors for each of the one or more frames of images, using each of the one or more shift vectors, taking any pixel in each of the one or more frames of images as a starting point, determining a terminal point directed by the one or more shift vectors from the starting point, and determining an image feature of the one or more frames of images according to a difference between the starting point and the terminal point, and determining a video feature of the video object according to the image feature of the one or more frames of images.

Abstract: A video feature extraction method and device are provided. The method includes extracting one or more frames from a video object to obtain one or more frames of images; stage-by-stage processing each of the one or more frames of images by multi-typed pooling processes to obtain an image feature of the one or more frames of images; and determining a video feature according to the image feature of the one or more frames of images. The multi-typed pooling processes include a maximum pooling process, a minimum pooling process and an average pooling process.

Abstract: The present disclosure relates to a media retrieval method and apparatus, wherein the method comprising: acquiring a media feature of a query media as a first media feature which contains a plurality of first media feature units; performing, according to each individual of the first media feature unit, a first ranking on a plurality of existing media, and taking, according to a result of the first ranking, first k existing media as a first candidate media set, where k is a positive integer; and performing, according to the plurality of the first media feature units arranged in sequence, a second ranking on the first candidate media set, and taking, according to a result of the second ranking, first n first candidate media as a retrieval result, where n is a positive integer.

Abstract: The present invention relates to a method and a device for determining a duplicate video, wherein the method comprises: acquiring multiple types of video features of a query video; according to the multiple types of video features of the query video, sequentially comparing a plurality of existing videos respectively to obtain a sequence comparison result; performing a first ranking on the plurality of existing videos according to the sequence comparison result, and taking first n existing videos as first candidate videos according to a result of the first ranking, where n is a positive integer; and determining a duplication level of the query video according to the sequence comparison result of the first candidate videos.

Abstract: The disclosure is related to a method and device for comparing media features, the method comprising: obtaining first media feature sequences of a first media object and second media feature sequences of a second media object, the first media feature sequence comprises a plurality of first media feature units arranged in sequence, and the second media feature sequence comprises a plurality of second media feature units arranged in sequence; determining unit similarities between the first media feature units and the second media feature units; determining a similarity matrix between the first media feature sequences and the second media feature sequences according to the unit similarities; determining a similarity of the first media object and the second media object according to the similarity matrix.

Abstract: A video feature extraction method and device are provided. The method includes extracting one or more frames from a video object to obtain one or more frames of images, obtaining one or more shift vectors for each of the one or more frames of images, using each of the one or more shift vectors, taking any pixel in each of the one or more frames of images as a starting point, determining a terminal point directed by the one or more shift vectors from the starting point, and determining an image feature of the one or more frames of images according to a difference between the starting point and the terminal point, and determining a video feature of the video object according to the image feature of the one or more frames of images.