CN110868630A - Method and device for generating forecast report - Google Patents
Method and device for generating forecast report Download PDFInfo
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- CN110868630A CN110868630A CN201810981936.5A CN201810981936A CN110868630A CN 110868630 A CN110868630 A CN 110868630A CN 201810981936 A CN201810981936 A CN 201810981936A CN 110868630 A CN110868630 A CN 110868630A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/83—Generation or processing of protective or descriptive data associated with content; Content structuring
- H04N21/845—Structuring of content, e.g. decomposing content into time segments
- H04N21/8456—Structuring of content, e.g. decomposing content into time segments by decomposing the content in the time domain, e.g. in time segments
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
Abstract
The present disclosure relates to a trailer generation method and apparatus. The method comprises the following steps: acquiring a feature vector of a first key video frame of a trailer sample; determining a second key video frame in a first video segment of the first video; extracting a feature vector of the second key video frame; determining a target key frame corresponding to the first key video frame from the second key video frames according to the distance between the feature vector of the second key video frame and the feature vector of the first key video frame; determining a target segment according to a first video segment to which the target key frame belongs; and generating the trailer of the first video according to the target segment. The method and the device can automatically and quickly generate the forecast report, and greatly save time and labor.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method and an apparatus for generating a trailer.
Background
The video trailers of movies, television dramas, heddles, animations and the like play an important role in the propaganda of videos. The trailer can help the video to preheat and attract target audiences. In the related art, it usually takes several weeks to make a trailer, which is time-consuming and labor-consuming.
Disclosure of Invention
In view of this, the present disclosure provides a method and an apparatus for generating a trailer.
According to an aspect of the present disclosure, there is provided a trailer generation method, including:
acquiring a feature vector of a first key video frame of a trailer sample;
determining a second key video frame in a first video segment of the first video;
extracting a feature vector of the second key video frame;
determining a target key frame corresponding to the first key video frame from the second key video frames according to the distance between the feature vector of the second key video frame and the feature vector of the first key video frame;
determining a target segment according to a first video segment to which the target key frame belongs;
and generating the trailer of the first video according to the target segment.
In one possible implementation, obtaining a feature vector of a first key video frame of a trailer sample includes:
segmenting the trailer sample into a plurality of second video segments;
determining a first key video frame in the second video segment;
and extracting the feature vector of the first key video frame.
In one possible implementation, before determining the second key video frame in the first video segment of the first video, the method further comprises:
the first video is segmented into a plurality of first video segments.
In one possible implementation, the segmenting the first video into a plurality of first video segments includes:
identifying a shot cut time point in the first video;
segmenting the first video into a plurality of first video segments based on shot cut time points in the first video.
In one possible implementation, determining a second key video frame in a first video segment of a first video includes:
a first video frame in a first video segment of a first video is determined as a second key video frame in the first video segment.
In one possible implementation manner, determining a target key frame corresponding to the first key video frame from the second key video frames according to a distance between the feature vector of the second key video frame and the feature vector of the first key video frame includes:
and determining one or more second key video frames with the minimum distance between the feature vector and the feature vector of the first key video frame as the target key video frames corresponding to the first key video frames.
In one possible implementation manner, determining a target key frame corresponding to the first key video frame from the second key video frames according to a distance between the feature vector of the second key video frame and the feature vector of the first key video frame includes:
and determining a second key video frame with the distance between the feature vector and the feature vector of the first key video frame smaller than a distance threshold as a target key video frame corresponding to the first key video frame.
In one possible implementation manner, determining a target segment according to a first video segment to which the target key frame belongs includes:
and respectively determining the first video clips to which the target key frames belong as target clips.
In one possible implementation manner, determining a target segment according to a first video segment to which the target key frame belongs includes:
and respectively determining different first video clips in the first video clips to which the target key frames belong as target clips.
In one possible implementation, generating a trailer for the first video according to the target segment includes:
and combining the target segments respectively corresponding to the first key video frames according to the sequence of the first key video frames in the trailer sample to obtain the trailer of the first video.
In one possible implementation, generating a trailer for the first video according to the target segment includes:
and combining the target fragments according to the sequence of the target fragments in the first video to obtain the trailer of the first video.
In one possible implementation, after obtaining the trailer for the first video, the method further comprises:
if a plurality of forecast pieces of the first video are obtained according to a plurality of forecast piece samples, carrying out delivery test on the plurality of forecast pieces;
and determining the forecast pieces with the highest delivery test scores in the plurality of forecast pieces as the standby forecast pieces of the first video.
According to another aspect of the present disclosure, there is provided a trailer generation apparatus including:
the acquisition module is used for acquiring a feature vector of a first key video frame of a trailer sample;
a first determining module for determining a second key video frame in a first video clip of a first video;
the extraction module is used for extracting the feature vector of the second key video frame;
a second determining module, configured to determine, from the second key video frames, a target key frame corresponding to the first key video frame according to a distance between the feature vector of the second key video frame and the feature vector of the first key video frame;
the third determining module is used for determining a target segment according to the first video segment to which the target key frame belongs;
and the generating module is used for generating the trailer of the first video according to the target segment.
In one possible implementation manner, the obtaining module includes:
a first segmentation submodule for segmenting the trailer sample into a plurality of second video segments;
a determining submodule for determining a first key video frame in the second video segment;
and the extraction submodule is used for extracting the feature vector of the first key video frame.
In one possible implementation, the apparatus further includes:
a segmentation module to segment the first video into a plurality of first video segments.
In one possible implementation, the segmentation module includes:
an identification submodule for identifying shot cut time points in the first video;
and the second segmentation sub-module is used for segmenting the first video into a plurality of first video segments based on the shot switching time point in the first video.
In one possible implementation manner, the first determining module is configured to:
a first video frame in a first video segment of a first video is determined as a second key video frame in the first video segment.
In one possible implementation manner, the second determining module is configured to:
and determining one or more second key video frames with the minimum distance between the feature vector and the feature vector of the first key video frame as the target key video frames corresponding to the first key video frames.
In one possible implementation manner, the second determining module is configured to:
and determining a second key video frame with the distance between the feature vector and the feature vector of the first key video frame smaller than a distance threshold as a target key video frame corresponding to the first key video frame.
In one possible implementation manner, the third determining module is configured to:
and respectively determining the first video clips to which the target key frames belong as target clips.
In one possible implementation manner, the third determining module is configured to:
and respectively determining different first video clips in the first video clips to which the target key frames belong as target clips.
In one possible implementation, the generating module is configured to:
and combining the target segments respectively corresponding to the first key video frames according to the sequence of the first key video frames in the trailer sample to obtain the trailer of the first video.
In one possible implementation, the generating module is configured to:
and combining the target fragments according to the sequence of the target fragments in the first video to obtain the trailer of the first video.
In one possible implementation, the apparatus further includes:
the releasing test module is used for performing releasing test on the plurality of forecast pieces if the plurality of forecast pieces of the first video are obtained according to the plurality of forecast piece samples;
and the fourth determining module is used for determining the forecast trailer with the highest releasing test score in the plurality of forecast trailers as the standby forecast trailer of the first video.
According to another aspect of the present disclosure, there is provided a trailer generation apparatus including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to perform the above method.
According to another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the above-described method.
The generation method and device of the trailer in each aspect of the disclosure determine the target key frame corresponding to the first key video frame from the second key video frame according to the distance between the feature vector of the second key video frame of the first video and the feature vector of the first key video frame of the trailer sample, determine the target segment according to the first video segment to which the target key frame belongs, and generate the trailer of the first video according to the target segment, so that the trailer can be automatically and quickly generated, and time and labor are greatly saved.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.
Fig. 1 shows a flowchart of a generation method of a trailer according to an embodiment of the present disclosure.
Fig. 2 shows an exemplary flowchart of step S11 of the generation method of the trailer according to an embodiment of the present disclosure.
Fig. 3 illustrates an exemplary flowchart of a method for generating a trailer according to an embodiment of the present disclosure.
Fig. 4 shows an exemplary flowchart of step S22 of the generation method of the trailer according to an embodiment of the present disclosure.
Fig. 5 illustrates an exemplary flowchart of a method for generating a trailer according to an embodiment of the present disclosure.
Fig. 6 shows a block diagram of a trailer generation apparatus according to an embodiment of the present disclosure.
Fig. 7 illustrates an exemplary block diagram of a trailer generation apparatus according to an embodiment of the present disclosure.
FIG. 8 is a block diagram illustrating an apparatus 800 for generation of trailers, according to an example embodiment.
FIG. 9 is a block diagram illustrating an apparatus 1900 for generation of trailers according to an example embodiment.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.
Fig. 1 shows a flowchart of a generation method of a trailer according to an embodiment of the present disclosure. As shown in fig. 1, the method may be applied to a terminal device such as a PC (Personal Computer), a tablet Computer, or a mobile phone, or may be applied to a server, which is not limited herein. As shown in fig. 1, the method includes steps S11 through S16.
In step S11, a feature vector of the first key video frame of the trailer sample is acquired.
In the embodiment of the present disclosure, the number of trailer samples may be plural or one. In the case where the number of trailer samples is plural, step S11, step S14, step S15, and step S16 are respectively performed for each trailer sample, thereby obtaining a trailer of the first video corresponding to each trailer sample.
Wherein the first key video frame represents a key video frame of a trailer sample.
In the embodiment of the present disclosure, the number of the first key video frames may be one or more. Preferably, the number of the first key video frames is plural.
In one possible implementation, the first key video frame may be input into the VGG16 network and the output of the second to last layer of the VGG16 network is extracted as the visual feature of the first key video frame. And reducing the dimension of the visual features of the first key video frame to obtain a feature vector of the first key video frame. For example, a PCA (principal components Analysis) method may be used to perform dimension reduction on the visual features of the first key video frame, so as to obtain a 128-dimensional feature vector of the first key video frame.
It should be noted that, although the manner of obtaining the feature vector of the first key video frame is described above by taking the feature vector of the first key video frame obtained through the VGG16 network as an example, those skilled in the art can understand that the disclosure should not be limited thereto. Those skilled in the art can flexibly select the manner of acquiring the feature vector of the first key video frame according to the actual application scene requirement and/or personal preference.
In step S12, a second key video frame in the first video clip of the first video is determined.
It should be noted that the first video in the embodiments of the present disclosure represents a certain video, and the "first" in the first video is only for convenience of expression and reference, and does not mean that there is necessarily a corresponding first video in a specific implementation manner of the present disclosure. The first video in the embodiments of the present disclosure may be any type of video. For example, the first video may be a video of a movie, a video of a television show, a video of a variety program, a video of a sports game, or a video of an animation film, etc.
Wherein the first video segment represents a video segment of a first video, which may include one or more first video segments. Preferably, the first video comprises a plurality of first video segments. The second key video frame represents a key video frame in the first video clip, i.e., the second key video frame is a key video frame in the first video. Each first video clip may include one or more second key video frames. Preferably, each first video segment comprises one second key video frame.
In the disclosed embodiment, the number of the second key video frames may be one or more. Preferably, the number of the second key video frames is plural.
In one possible implementation, determining a second key video frame in a first video segment of a first video includes: a first video frame in a first video segment of the first video is determined as a second key video frame in the first video segment. For example, the first video includes a plurality of first video clips, and the first video frame in each of the first video clips of the first video may be respectively determined as the second key video frame.
In another possible implementation, determining a second key video frame in a first video segment of a first video includes: a first key frame (I-frame) in the first video segment is determined as a second key video frame in the first video segment. For example, the first video includes a plurality of first video clips, and a first key frame (I-frame) in each of the first video clips of the first video may be respectively determined as a second key video frame.
In another possible implementation, determining a second key video frame in a first video segment of a first video includes: any one video frame in the first video clip is determined as a second key video frame in the first video clip.
In step S13, the feature vector of the second key video frame is extracted.
In one possible implementation, the second key video frame may be input into the VGG16 network and the output of the second to last layer of the VGG16 network is extracted as the visual feature of the second key video frame. And reducing the dimension of the visual features of the second key video frame to obtain a feature vector of the second key video frame. For example, the PCA method may be used to perform dimension reduction on the visual features of the second key video frame, so as to obtain a 128-dimensional feature vector of the second key video frame.
It should be noted that, although the manner of extracting the feature vector of the second key video frame is described above by taking the example of extracting the feature vector of the second key video frame through the VGG16 network, it can be understood by those skilled in the art that the present disclosure should not be limited thereto. The person skilled in the art can flexibly select the way of extracting the feature vector of the second key video frame according to the actual application scene requirement and/or personal preference.
In step S14, a target key frame corresponding to the first key video frame is determined from the second key video frames according to the distance between the feature vector of the second key video frame and the feature vector of the first key video frame.
In one possible implementation manner, a cosine distance between the feature vector of the second key video frame and the feature vector of the first key video frame may be used as a distance between the feature vector of the second key video frame and the feature vector of the first key video frame.
In one possible implementation manner, determining a target key frame corresponding to a first key video frame from second key video frames according to a distance between a feature vector of the second key video frame and a feature vector of the first key video frame includes: and determining a second key video frame with the minimum distance between the feature vector and the feature vector of the first key video frame as a target key video frame corresponding to the first key video frame. In this implementation, if there are multiple first key video frames, the second key video frame with the minimum distance from the feature vector of each first key video frame can be found out from all the second key video frames of the first video, and used as the target key frame. In this implementation, the first key video frame and the target key frame may be in a one-to-one correspondence.
In another possible implementation manner, determining a target key frame corresponding to a first key video frame from second key video frames according to a distance between a feature vector of the second key video frame and a feature vector of the first key video frame includes: and determining a plurality of second key video frames with the minimum distance between the feature vector and the feature vector of the first key video frame as the target key video frame corresponding to the first key video frame.
As an example of this implementation, N second key video frames with the smallest distance between the feature vector and the feature vector of the first key video frame may be determined as the target key frames corresponding to the first key video frame, where N is a positive integer greater than 1. In this implementation, the first key video frame is in a one-to-many relationship with the target key frame.
In another possible implementation manner, determining a target key frame corresponding to a first key video frame from second key video frames according to a distance between a feature vector of the second key video frame and a feature vector of the first key video frame includes: and determining a second key video frame with the distance between the feature vector and the feature vector of the first key video frame smaller than a distance threshold value as a target key video frame corresponding to the first key video frame. In this implementation, the second key video frames whose distance between the feature vector and the feature vector of the first key video frame is smaller than the distance threshold are respectively determined as the target key frames. In this implementation, the first key video frame and the target key frame may be in a one-to-many relationship.
In step S15, a target segment is determined according to the first video segment to which the target key frame belongs.
In one possible implementation manner, determining a target segment according to a first video segment to which a target key frame belongs includes: and respectively determining the first video clips to which the target key frames belong as target clips.
In another possible implementation manner, determining a target segment according to a first video segment to which a target key frame belongs includes: and respectively determining different first video clips in the first video clips to which the target key frames belong as target clips. In this implementation, the presence of two identical target segments can be avoided.
In step S16, a trailer for the first video is generated from the target segment.
In one possible implementation, generating a trailer for a first video from a target segment includes: and combining the target segments respectively corresponding to the first key video frames according to the sequence of the first key video frames in the trailer sample to obtain the trailer of the first video.
In another possible implementation, generating a trailer for a first video from a target segment includes: and combining the target fragments according to the sequence of the target fragments in the first video to obtain the trailer of the first video.
According to the embodiment of the disclosure, the target key frame corresponding to the first key video frame is determined from the second key video frames according to the distance between the feature vector of the second key video frame of the first video and the feature vector of the first key video frame of the trailer sample, the target segment is determined according to the first video segment to which the target key frame belongs, and the trailer of the first video is generated according to the target segment, so that the trailer can be automatically and quickly generated, and time and labor are greatly saved. Since the trailer can be automatically and quickly generated, it is possible to quickly generate a large number of trailers.
Fig. 2 shows an exemplary flowchart of step S11 of the generation method of the trailer according to an embodiment of the present disclosure. As shown in fig. 2, step S11 may include step S111 to step S113.
In step S111, the trailer sample is divided into a plurality of second video segments.
Wherein the second video segment represents a video segment of a trailer sample.
In one possible implementation, shot cut time points in the trailer samples may be identified, and the trailer samples may be partitioned into a plurality of second video segments based on the shot cut time points in the trailer samples.
In step S112, a first key video frame in the second video segment is determined.
In embodiments of the present disclosure, each second video segment may include one or more first key video frames. Preferably, each second video segment comprises one first key video frame.
In one possible implementation, determining the first key video frame in the second video segment includes: the first video frame in the second video segment is determined as the first key video frame in the second video segment. For example, the trailer sample includes a plurality of second video segments, and the first video frame in each of the second video segments of the trailer sample may be respectively determined as the first key video frame.
In another possible implementation, determining a first key video frame in a second video segment includes: the first key video frame (I-frame) in the second video segment is determined to be the first key video frame in the second video segment. For example, the trailer sample includes a plurality of second video segments, and the first key frame (I frame) in each of the second video segments of the trailer sample may be respectively determined as the first key video frame.
In another possible implementation, determining a first key video frame in a second video segment includes: any one video frame in the second video segment is determined as the first key video frame in the second video segment.
In step S113, the feature vector of the first key video frame is extracted.
Fig. 3 illustrates an exemplary flowchart of a method for generating a trailer according to an embodiment of the present disclosure. As shown in fig. 3, the method may include steps S21 through S27.
In step S21, a feature vector of the first key video frame of the trailer sample is acquired.
Wherein, for step S21, refer to the description above for step S11.
In step S22, the first video is divided into a plurality of first video segments.
In one possible implementation, the pyscenedect method may be used to segment the first video into a plurality of first video segments.
In another possible implementation, FFMPEG may be utilized to segment the first video into a plurality of first video segments.
In step S23, a second key video frame in the first video clip of the first video is determined.
Wherein, for step S23, refer to the description above for step S12.
In step S24, the feature vector of the second key video frame is extracted.
Wherein, for step S24, refer to the description above for step S13.
In step S25, a target key frame corresponding to the first key video frame is determined from the second key video frames according to the distance between the feature vector of the second key video frame and the feature vector of the first key video frame.
Wherein, for step S25, refer to the description above for step S14.
In step S26, a target segment is determined according to the first video segment to which the target key frame belongs.
Wherein, for step S26, refer to the description above for step S15.
In step S27, a trailer for the first video is generated from the target segment.
Wherein, for step S27, refer to the description above for step S16.
Fig. 4 shows an exemplary flowchart of step S22 of the generation method of the trailer according to an embodiment of the present disclosure. As shown in fig. 4, step S22 may include step S221 and step S222.
In step S221, a shot cut time point in the first video is identified.
In one possible implementation, a pyscenedect method may be utilized to identify a shot cut time point in the first video.
In step S222, the first video is divided into a plurality of first video segments based on shot cut time points in the first video.
Fig. 5 illustrates an exemplary flowchart of a method for generating a trailer according to an embodiment of the present disclosure. As shown in fig. 5, the method may include steps S11 through S18.
In step S11, a feature vector of the first key video frame of the trailer sample is acquired.
In step S12, a second key video frame in the first video clip of the first video is determined.
In step S13, the feature vector of the second key video frame is extracted.
In step S14, a target key frame corresponding to the first key video frame is determined from the second key video frames according to the distance between the feature vector of the second key video frame and the feature vector of the first key video frame.
In step S15, a target segment is determined according to the first video segment to which the target key frame belongs.
In step S16, a trailer for the first video is generated from the target segment.
In step S17, if a plurality of trailers of the first video are obtained from the plurality of trailer samples, a launch test is performed on the plurality of trailers.
In embodiments of the present disclosure, a plurality of trailers of a first video may be generated based on a plurality of trailer samples. The multiple trailers may be of different styles or different types of trailers.
In one possible implementation, the performing the release test on the plurality of trailers may include: different users of the same type are launched with different trailers of the first video.
In step S18, the trailer with the highest delivery test score among the plurality of trailers is determined as a standby trailer for the first video.
In one possible implementation, the delivery test score of the trailer may be determined according to one or more items of click rate, user score, forwarding amount, collection amount, and the like of the trailer.
Wherein the standby trailer may represent a trailer for formal delivery.
In one possible implementation, after obtaining the plurality of trailers of the first video from the plurality of trailer samples, the standby trailer of the first video can be determined from the plurality of trailers of the first video by manual screening.
Fig. 6 shows a block diagram of a trailer generation apparatus according to an embodiment of the present disclosure. As shown in fig. 6, the apparatus includes: an obtaining module 31, configured to obtain a feature vector of a first key video frame of a trailer sample; a first determining module 32 for determining a second key video frame in a first video segment of the first video; an extracting module 33, configured to extract a feature vector of the second key video frame; a second determining module 34, configured to determine, according to a distance between the feature vector of the second key video frame and the feature vector of the first key video frame, a target key frame corresponding to the first key video frame from the second key video frame; a third determining module 35, configured to determine a target segment according to the first video segment to which the target key frame belongs; and the generating module 36 is configured to generate a trailer of the first video according to the target segment.
Fig. 7 illustrates an exemplary block diagram of a trailer generation apparatus according to an embodiment of the present disclosure. As shown in fig. 7:
in one possible implementation, the obtaining module 31 includes: a first segmentation submodule 311 configured to segment the trailer sample into a plurality of second video segments; a determining sub-module 312 for determining a first key video frame in the second video segment; and the extraction submodule 313 is used for extracting the feature vector of the first key video frame.
In one possible implementation, the apparatus further includes: a segmentation module 37, configured to segment the first video into a plurality of first video segments.
In one possible implementation, the segmentation module 37 includes: an identifying subunit 371, configured to identify a shot cut time point in the first video; and a second segmentation sub-module 372 configured to segment the first video into a plurality of first video segments based on shot cut time points in the first video.
In one possible implementation, the first determining module 32 is configured to: a first video frame in a first video segment of the first video is determined as a second key video frame in the first video segment.
In one possible implementation, the second determining module 32 is configured to: and determining one or more second key video frames with the minimum distance between the feature vector and the feature vector of the first key video frame as the target key video frames corresponding to the first key video frames.
In one possible implementation, the second determining module 34 is configured to: and determining a second key video frame with the distance between the feature vector and the feature vector of the first key video frame smaller than a distance threshold value as a target key video frame corresponding to the first key video frame.
In one possible implementation, the third determining module 35 is configured to: and respectively determining the first video clips to which the target key frames belong as target clips.
In one possible implementation, the third determining module 35 is configured to: and respectively determining different first video clips in the first video clips to which the target key frames belong as target clips.
In one possible implementation, the generating module 36 is configured to: and combining the target segments respectively corresponding to the first key video frames according to the sequence of the first key video frames in the trailer sample to obtain the trailer of the first video.
In one possible implementation, the generating module 36 is configured to: and combining the target fragments according to the sequence of the target fragments in the first video to obtain the trailer of the first video.
In one possible implementation, the apparatus further includes: the release testing module 38 is configured to perform release testing on the plurality of trailers of the first video if the plurality of trailers of the first video are obtained according to the plurality of trailer samples; and a fourth determining module 39, configured to determine the trailer with the highest delivery test score in the plurality of trailers as the standby trailer of the first video.
According to the embodiment of the disclosure, the target key frame corresponding to the first key video frame is determined from the second key video frames according to the distance between the feature vector of the second key video frame of the first video and the feature vector of the first key video frame of the trailer sample, the target segment is determined according to the first video segment to which the target key frame belongs, and the trailer of the first video is generated according to the target segment, so that the trailer can be automatically and quickly generated, and time and labor are greatly saved.
FIG. 8 is a block diagram illustrating an apparatus 800 for generation of trailers, according to an example embodiment. For example, the apparatus 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.
Referring to fig. 8, the apparatus 800 may include one or more of the following components: processing component 802, memory 804, power component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814, and communication component 816.
The processing component 802 generally controls overall operation of the device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 802 may include one or more processors 820 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interaction between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.
The memory 804 is configured to store various types of data to support operations at the apparatus 800. Examples of such data include instructions for any application or method operating on device 800, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 804 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The multimedia component 808 includes a screen that provides an output interface between the device 800 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 800 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the apparatus 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.
The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 814 includes one or more sensors for providing various aspects of state assessment for the device 800. For example, the sensor assembly 814 may detect the open/closed status of the device 800, the relative positioning of components, such as a display and keypad of the device 800, the sensor assembly 814 may also detect a change in the position of the device 800 or a component of the device 800, the presence or absence of user contact with the device 800, the orientation or acceleration/deceleration of the device 800, and a change in the temperature of the device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 816 is configured to facilitate communications between the apparatus 800 and other devices in a wired or wireless manner. The device 800 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer-readable storage medium, such as the memory 804, is also provided that includes computer program instructions executable by the processor 820 of the device 800 to perform the above-described methods.
FIG. 9 is a block diagram illustrating an apparatus 1900 for generation of trailers according to an example embodiment. For example, the apparatus 1900 may be provided as a server. Referring to fig. 9, the device 1900 includes a processing component 1922 further including one or more processors and memory resources, represented by memory 1932, for storing instructions, e.g., applications, executable by the processing component 1922. The application programs stored in memory 1932 may include one or more modules that each correspond to a set of instructions. Further, the processing component 1922 is configured to execute instructions to perform the above-described method.
The device 1900 may also include a power component 1926 configured to perform power management of the device 1900, a wired or wireless network interface 1950 configured to connect the device 1900 to a network, and an input/output (I/O) interface 1958. The device 1900 may operate based on an operating system stored in memory 1932, such as Windows Server, MacOS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.
In an exemplary embodiment, a non-transitory computer readable storage medium, such as the memory 1932, is also provided that includes computer program instructions executable by the processing component 1922 of the apparatus 1900 to perform the above-described methods.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein were chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the techniques in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (26)
1. A method for generating a trailer, comprising:
acquiring a feature vector of a first key video frame of a trailer sample;
determining a second key video frame in a first video segment of the first video;
extracting a feature vector of the second key video frame;
determining a target key frame corresponding to the first key video frame from the second key video frames according to the distance between the feature vector of the second key video frame and the feature vector of the first key video frame;
determining a target segment according to a first video segment to which the target key frame belongs;
and generating the trailer of the first video according to the target segment.
2. The method of claim 1, wherein obtaining the feature vector of the first key video frame of the trailer sample comprises:
segmenting the trailer sample into a plurality of second video segments;
determining a first key video frame in the second video segment;
and extracting the feature vector of the first key video frame.
3. The method of claim 1, wherein prior to determining the second key video frame in the first video segment of the first video, the method further comprises:
the first video is segmented into a plurality of first video segments.
4. The method of claim 3, wherein segmenting the first video into a plurality of first video segments comprises:
identifying a shot cut time point in the first video;
segmenting the first video into a plurality of first video segments based on shot cut time points in the first video.
5. The method of claim 1, wherein determining the second key video frame in the first video segment of the first video comprises:
a first video frame in a first video segment of a first video is determined as a second key video frame in the first video segment.
6. The method of claim 1, wherein determining a target key frame corresponding to the first key video frame from the second key video frames according to a distance between the feature vector of the second key video frame and the feature vector of the first key video frame comprises:
and determining one or more second key video frames with the minimum distance between the feature vector and the feature vector of the first key video frame as the target key video frames corresponding to the first key video frames.
7. The method of claim 1, wherein determining a target key frame corresponding to the first key video frame from the second key video frames according to a distance between the feature vector of the second key video frame and the feature vector of the first key video frame comprises:
and determining a second key video frame with the distance between the feature vector and the feature vector of the first key video frame smaller than a distance threshold as a target key video frame corresponding to the first key video frame.
8. The method of claim 1, wherein determining a target segment according to the first video segment to which the target key frame belongs comprises:
and respectively determining the first video clips to which the target key frames belong as target clips.
9. The method of claim 1, wherein determining a target segment according to the first video segment to which the target key frame belongs comprises:
and respectively determining different first video clips in the first video clips to which the target key frames belong as target clips.
10. The method of claim 1, wherein generating the trailer for the first video from the target segment comprises:
and combining the target segments respectively corresponding to the first key video frames according to the sequence of the first key video frames in the trailer sample to obtain the trailer of the first video.
11. The method of claim 1, wherein generating the trailer for the first video from the target segment comprises:
and combining the target fragments according to the sequence of the target fragments in the first video to obtain the trailer of the first video.
12. The method of claim 1, wherein after obtaining the trailer for the first video, the method further comprises:
if a plurality of forecast pieces of the first video are obtained according to a plurality of forecast piece samples, carrying out delivery test on the plurality of forecast pieces;
and determining the forecast pieces with the highest delivery test scores in the plurality of forecast pieces as the standby forecast pieces of the first video.
13. An apparatus for generating a trailer, comprising:
the acquisition module is used for acquiring a feature vector of a first key video frame of a trailer sample;
a first determining module for determining a second key video frame in a first video clip of a first video;
the extraction module is used for extracting the feature vector of the second key video frame;
a second determining module, configured to determine, from the second key video frames, a target key frame corresponding to the first key video frame according to a distance between the feature vector of the second key video frame and the feature vector of the first key video frame;
the third determining module is used for determining a target segment according to the first video segment to which the target key frame belongs;
and the generating module is used for generating the trailer of the first video according to the target segment.
14. The apparatus of claim 13, wherein the obtaining module comprises:
a first segmentation submodule for segmenting the trailer sample into a plurality of second video segments;
a determining submodule for determining a first key video frame in the second video segment;
and the extraction submodule is used for extracting the feature vector of the first key video frame.
15. The apparatus of claim 13, further comprising:
a segmentation module to segment the first video into a plurality of first video segments.
16. The apparatus of claim 15, wherein the segmentation module comprises:
an identification submodule for identifying shot cut time points in the first video;
and the second segmentation sub-module is used for segmenting the first video into a plurality of first video segments based on the shot switching time point in the first video.
17. The apparatus of claim 13, wherein the first determining module is configured to:
a first video frame in a first video segment of a first video is determined as a second key video frame in the first video segment.
18. The apparatus of claim 13, wherein the second determining module is configured to:
and determining one or more second key video frames with the minimum distance between the feature vector and the feature vector of the first key video frame as the target key video frames corresponding to the first key video frames.
19. The apparatus of claim 13, wherein the second determining module is configured to:
and determining a second key video frame with the distance between the feature vector and the feature vector of the first key video frame smaller than a distance threshold as a target key video frame corresponding to the first key video frame.
20. The apparatus of claim 13, wherein the third determining module is configured to:
and respectively determining the first video clips to which the target key frames belong as target clips.
21. The apparatus of claim 13, wherein the third determining module is configured to:
and respectively determining different first video clips in the first video clips to which the target key frames belong as target clips.
22. The apparatus of claim 13, wherein the generating module is configured to:
and combining the target segments respectively corresponding to the first key video frames according to the sequence of the first key video frames in the trailer sample to obtain the trailer of the first video.
23. The apparatus of claim 13, wherein the generating module is configured to:
and combining the target fragments according to the sequence of the target fragments in the first video to obtain the trailer of the first video.
24. The apparatus of claim 13, further comprising:
the releasing test module is used for performing releasing test on the plurality of forecast pieces if the plurality of forecast pieces of the first video are obtained according to the plurality of forecast piece samples;
and the fourth determining module is used for determining the forecast trailer with the highest releasing test score in the plurality of forecast trailers as the standby forecast trailer of the first video.
25. An apparatus for generating a trailer, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the method of any one of claims 1 to 12.
26. A non-transitory computer readable storage medium having stored thereon computer program instructions, wherein the computer program instructions, when executed by a processor, implement the method of any one of claims 1 to 12.
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| WO2021248835A1 (en) * | 2020-06-11 | 2021-12-16 | 北京市商汤科技开发有限公司 | Video processing method and apparatus, and electronic device, storage medium and computer program |
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