CN104036018A - Video acquiring method and video acquiring device - Google Patents
Video acquiring method and video acquiring device Download PDFInfo
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- CN104036018A CN104036018A CN201410291409.3A CN201410291409A CN104036018A CN 104036018 A CN104036018 A CN 104036018A CN 201410291409 A CN201410291409 A CN 201410291409A CN 104036018 A CN104036018 A CN 104036018A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/73—Querying
- G06F16/738—Presentation of query results
- G06F16/739—Presentation of query results in form of a video summary, e.g. the video summary being a video sequence, a composite still image or having synthesized frames
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/71—Indexing; Data structures therefor; Storage structures
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/783—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/7834—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using audio features
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Abstract
An embodiment of the invention discloses a video acquiring method and a video acquiring device. The video acquiring method includes according to a retrieval word input by a user, inquiring a video library to acquire to-be-recommended videos with video content related to the retrieval word and related time points, corresponding to the retrieval word, in the to-be-recommended videos; displaying the to-be-recommended videos and the related time points thereof in a set mode. By the video acquiring method and the video acquiring device, relatedness between video search and video content is improved, and video searching needs of the user are met better.
Description
Technical field
The embodiment of the present invention relates to video data processing technology field, relates in particular to a kind of video acquiring method and device.
Background technology
Popular along with internet, video website has also been subject to liking of user with its stronger real-time interactive.But when user searches for video in video website, whether the term that prior art is generally only submitted to according to user mates to user and recommends video with the title of video or summary.And the title of video and summary are the summary description to video file content, can completely is reacted the full content of video.
User is when using term to video website retrieve video, and it wishes to retrieve the video content video relevant with this term often.And existing video frequency searching means well do not meet this demand.
Summary of the invention
In view of this, the embodiment of the present invention proposes a kind of video acquiring method and device, to improve the relevance of video search and video content.
First aspect, the embodiment of the present invention provides a kind of video acquiring method, and described method comprises:
According to the term of user's input, from video library, some correlation time corresponding with described term in video to be recommended and described video to be recommended is obtained in inquiry;
Point correlation time of described video to be recommended and described video to be recommended is shown to user with setting means.
Second aspect, the embodiment of the present invention provides a kind of video acquisition device, and described device comprises:
Time point acquisition module for according to the term of user's input, is inquired about and is obtained some correlation time corresponding with described term in video to be recommended and described video to be recommended from video library;
Display module, for showing with setting means point correlation time of described video to be recommended and described video to be recommended to user.
The video acquiring method that the embodiment of the present invention provides and device, by the term of inputting according to user, from video library, some correlation time corresponding with described term in video to be recommended and described video to be recommended is obtained in inquiry, point correlation time of described video to be recommended and described video to be recommended is shown to user with setting means, to improve the relevance of video search and video content.
Accompanying drawing explanation
By reading the detailed description that non-limiting example is done of doing with reference to the following drawings, it is more obvious that other features, objects and advantages of the present invention will become:
Fig. 1 is the process flow diagram of the video acquiring method that provides of first embodiment of the invention;
Fig. 2 a is the result display interface figure that fixed terminal that first embodiment of the invention provides carries out video acquisition;
Fig. 2 b is the result display interface figure that mobile terminal that first embodiment of the invention provides carries out video acquisition;
Fig. 3 is the process flow diagram of the video acquiring method that provides of second embodiment of the invention;
Fig. 4 is the process flow diagram that in the video acquiring method that provides of second embodiment of the invention, time point obtains;
Fig. 5 is the process flow diagram that in the video acquiring method that provides of third embodiment of the invention, time point obtains;
Fig. 6 is the process flow diagram showing in the video acquiring method that provides of fourth embodiment of the invention;
Fig. 7 a is the list interface figure of the described video acquiring method of enforcement that provides of fourth embodiment of the invention;
Fig. 7 b is the broadcast interface figure of the described video acquiring method of enforcement that provides of fourth embodiment of the invention;
Fig. 8 is the process flow diagram of the video acquiring method that provides of fifth embodiment of the invention;
Fig. 9 is the structural drawing of the video acquisition device that provides of sixth embodiment of the invention.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail.Be understandable that, specific embodiment described herein is only for explaining the present invention, but not limitation of the invention.It also should be noted that, for convenience of description, in accompanying drawing, only show part related to the present invention but not full content.
Fig. 1 and Fig. 2 show the first embodiment of the present invention.
Fig. 1 is the process flow diagram of the video acquiring method that provides of first embodiment of the invention.Described video acquiring method is carried out by video acquisition device.Described video acquisition device is configured in the server of network side, and the mobile terminal that user can be connected with internet by use or fixed terminal are to the described video acquisition device request video information being configured in network side server.Referring to Fig. 1, described video acquiring method comprises:
S110, according to the term of user's input, from video library, some correlation time corresponding with described term in video to be recommended and described video to be recommended is obtained in inquiry.
Video library is the database being stored on the server of disposing described video acquisition device, has wherein stored the video file that search can be inquired about, watch for user.
Video file in described video library can be inquired about for user.User can propose query video request to described video acquisition device by internet.Preferably, the term that comprises at least one user's input in described query video request.For example, when user need to inquire about the video relevant to " initialization of array ", the term of user's input can be " initialization of array ".
Described video acquisition device, after receiving the query video request of user's proposition, searches and obtains the video matching with described term in described video library.And described video acquisition device also obtains the correlation time point corresponding with described term.Such as, the 19th minute the 32nd second of video to be recommended, in the voice of video, occurred that described video acquisition device is using the 19th minute the 32nd second as the correlation time point corresponding with described term about the content of the term " initialization of array " of user's submission.Preferably, described video acquisition device obtains the correlation time point corresponding with described term according to pre-configured index.
Described video acquisition device obtains obtaining according to pre-configured index of putting described correlation time.In described index, stored the keyword occurring in the voice of video file, and the time point of these keywords appearance.Preferably, described index can be according to the speech recognition of video file is set up.
S120, shows with setting means point correlation time of described video to be recommended and described video to be recommended to user.
After getting the correlation time point of video to be recommended and described video to be recommended, described video acquisition device shows described video to be recommended with setting means to user.
Preferably, described video acquisition device can show the thumbnail of setting two field picture in described video to be recommended, and with the form of text, mark some correlation time of described video to be recommended in returning to webpage.Described video acquisition device can also be shown some correlation time of described video to be recommended in the broadcast interface of described video to be recommended with the form of time tag.
Fig. 2 a is the result display interface figure that fixed terminal that first embodiment of the invention provides carries out video acquisition.Referring to Fig. 2 a, after user submits term " initialization of array " to, described video acquisition device has returned to the video relevant to term 201 to user, and put 202 the correlation time of described video.
Fig. 2 b is the result display interface figure that mobile terminal that first embodiment of the invention provides carries out video acquisition.Referring to Fig. 2 b, after user submits term " initialization of array " to, described video acquisition device has also returned to the video relevant to term 203 to user, and put 204 the correlation time of described video.
The present embodiment is by the term of inputting according to user, from video library, some correlation time corresponding with described term in video to be recommended and described video to be recommended is obtained in inquiry, point correlation time of described video to be recommended and described video to be recommended is shown to user with setting means, improved the relevance of video search and video content.
Fig. 3 and Fig. 4 show the second embodiment of the present invention.
Fig. 3 is the process flow diagram of the video acquiring method that provides of second embodiment of the invention.Described video acquiring method be take first embodiment of the invention as basis, further, at the term of inputting according to user, before from video library, inquiry is obtained and is put correlation time corresponding with described term in video to be recommended and described video to be recommended, also comprise: the video in described video library is carried out to speech recognition, the time point occurring to obtain keyword and described keyword from voice identification result; According to keyword and time point thereof, set up keyword-time point index.Referring to Fig. 3, described video acquiring method comprises:
S310, carries out speech recognition to the video in described video library, the time point occurring to obtain keyword and described keyword from voice identification result.
Before receiving the term of user's submission, described video acquisition device can carry out pre-service to the video of storing in described video library in advance, to set up for obtaining the index of some correlation time.
Described video acquisition device can carry out speech recognition to the video in video library, according to the result of speech recognition, obtains keyword, and the time point that these keywords are occurred in video marks.
Preferably, described video acquisition device can first carry out speech recognition to video file, obtains the text message corresponding to voice of described video file, and time of occurring in video of the words in text message.Then, according to predefined keyword vocabulary, from described text message, extract keyword.Finally, the time keyword extracting being occurred in video marks.
S320, sets up keyword-time point index according to keyword and time point thereof.
After time point corresponding to the keyword occurring and described keyword, according to keyword and time point thereof, set up keyword-time point index in obtaining video file.
Described keyword-time point index can be with extend markup language (Extensible markup language, XML), Javascript object encoding method (Javascrit object notation, JSON) etc. the document form of form is stored, and also can store with the form of database.
S330, according to the term of user's input, from video library, some correlation time corresponding with described term in video to be recommended and described video to be recommended is obtained in inquiry.
S340, shows with setting means point correlation time of described video to be recommended and described video to be recommended to user.
Fig. 4 is the process flow diagram that in the video acquiring method that provides of second embodiment of the invention, time point obtains.Referring to Fig. 4, according to the term of user's input, from video library, inquiry is obtained to put and is comprised correlation time corresponding with described term in video to be recommended and described video to be recommended:
S331 according to the term of user's input, in keyword-time point index of video, searches the keyword mating with described term in described video library.
Owing to having set up in advance keyword-time point index of video in video library, so can retrieve the video in video library according to keyword-time point index of video.
Concrete, described video acquisition device is searched the keyword mating with described term in keyword-time point index of video after receiving the term that user submits to by internet in video library.Due to described keyword-time point index be with described video library in each video binding, so when searching described keyword-time point index, need to search keyword-time point index corresponding to each video in described video library.
S332, is defined as video to be recommended by the video that matches keyword, and using the time point of the keyword of coupling as some correlation time.
If found the keyword that the term submitted to user mates in keyword-time point index corresponding to video, this video is defined as to video to be recommended, the time that described keyword is occurred in this video is defined as some correlation time.
If do not find the keyword that the term submitted to user mate in keyword-time point index corresponding to video, this video has nothing to do with the term of this user submission, this video is not recommended to user.
The present embodiment is by the term inputting according to user, before from video library, inquiry is obtained and is put correlation time corresponding with described term in video to be recommended and described video to be recommended, video in described video library is carried out to speech recognition, the time point occurring to obtain keyword and described keyword from voice identification result, according to keyword and time point thereof, set up keyword-time point index, make server can utilize speech recognition technology to set up in advance keyword-time point index of video, and to user, provide video recommendation service according to this index, further improved the efficiency of video recommendation service.
Fig. 5 shows the third embodiment of the present invention.
Fig. 5 is the process flow diagram that in the video acquiring method that provides of third embodiment of the invention, time point obtains.Described video acquiring method be take first embodiment of the invention as basis, further, according to the term of user's input, from video library, inquiry is obtained to put and is comprised correlation time corresponding with described term in video to be recommended and described video to be recommended: according to the term of user's input, described video library is carried out to speech recognition, to search the content of mating with described term, as keyword; The video that matches keyword is defined as to video to be recommended, and obtains the time point that described keyword occurs, as some correlation time.
Referring to Fig. 5, according to the term of user's input, from video library, inquiry is obtained to put and is comprised correlation time corresponding with described term in video to be recommended and described video to be recommended:
S111, the term according to user's input, carries out speech recognition to described video library, to search the content of mating with described term, as keyword.
After receiving the term that user submits to by internet, described video acquisition device carries out speech recognition to the video in video library, get the text message of the voice content that represents video, and the time point information that represents the time of occurrence point of words in text message.Subsequently, described video acquisition device is searched the term of user's input in the text message of voice content that represents video.If got the term that user inputs in described text message, using this term as keyword.
S112, is defined as video to be recommended by the video that matches keyword, and obtains the time point that described keyword occurs, as some correlation time.
If match described keyword in the text message of voice content that represents video, the video that matches keyword is confirmed as to video to be recommended, and obtain the time point that described keyword occurs, as putting correlation time, be pushed to user.
The difference of the present embodiment and third embodiment of the invention is, does not need to set up in advance index information, but real-time video library is identified and retrieved after receiving user's term.
The present embodiment is by the term of inputting according to user, described video library is carried out to speech recognition, to search the content of mating with described term, as keyword, the video that matches keyword is defined as to video to be recommended, and obtain the time point that described keyword occurs, as some correlation time, no longer need the video in video library to do processing in advance, but after submitting term to according to user, the Real time identification of video is recommended to video information to user, improved the real-time of video acquisition.
Fig. 6 and Fig. 7 show the fourth embodiment of the present invention.
Fig. 6 is the process flow diagram showing in the video acquiring method that provides of fourth embodiment of the invention.Described video acquiring method be take first embodiment of the invention as basis, further, point correlation time of described video to be recommended and described video to be recommended is shown and comprised to user with setting means: the thumbnail of setting two field picture in described video to be recommended is shown in returning to webpage, and with the form of text, mark some correlation time of described video to be recommended; Or some correlation time of showing described video to be recommended in the broadcast interface of described video to be recommended with the form of time tag.
Referring to Fig. 6, example, some correlation time of described video to be recommended and described video to be recommended is shown and can be comprised to user with setting means:
S121 shows the thumbnail of setting two field picture in described video to be recommended in returning to webpage, and with the form of text, marks some correlation time of described video to be recommended.
After putting the correlation time that gets video to be recommended and described video to be recommended from described video library, the thumbnail of setting two field picture in described video to be recommended is shown in returning to webpage, and with the form of text, mark some correlation time of described video to be recommended.
Preferably, put corresponding frame the correlation time that described setting frame is described video to be recommended, the thumbnail of setting two field picture in described video to be recommended is the thumbnail of putting corresponding frame described correlation time.
Fig. 7 a is the list interface figure of the described video acquiring method of enforcement that provides of fourth embodiment of the invention.Referring to Fig. 7 a, in described list interface, with the form of list, shown video 701 to be recommended.Put 702 the correlation time that has marked described video to be recommended with the form of text below each video to be recommended.
Example, some correlation time of described video to be recommended and described video to be recommended is shown and can also be comprised to user with setting means:
S122 shows some correlation time of described video to be recommended in the broadcast interface of described video to be recommended with the form of time tag.
After putting the correlation time that gets video to be recommended and described video to be recommended from described video library, in the broadcast interface of described video to be recommended, with the form of time tag, show some correlation time of described video to be recommended.
Fig. 7 b is the broadcast interface figure of the described video acquiring method of enforcement that provides of fourth embodiment of the invention.Referring to Fig. 7 b, in the broadcast interface of described video to be recommended, with the form of time tag 703, marked some correlation time of described video to be recommended.
The present embodiment by showing the thumbnail of setting two field picture in described video to be recommended in returning to webpage, and with some correlation time of the described video to be recommended of form mark of text, or some correlation time of showing described video to be recommended in the broadcast interface of described video to be recommended with the form of time tag, user is being browsed or during displaying video, can clearly learn relevant some correlation time of term of submitting to him, be convenient to user's positioning associated time point accurately in video.
Fig. 8 illustrates the fifth embodiment of the present invention.
Fig. 8 is the process flow diagram of the video acquiring method that provides of fifth embodiment of the invention.Described video acquiring method be take first embodiment of the invention as basis, further, also comprise: at the term of inputting according to user, after from video library, inquiry is obtained and is put correlation time corresponding with described term in video to be recommended and described video to be recommended, occurrence frequency according to described term in described video to be recommended, calculates the degree of correlation of at least two videos to be recommended and described term; And according to the degree of correlation of described video to be recommended and described term, described at least two videos to be recommended are sorted.
Referring to Fig. 8, described video acquiring method comprises:
S810, according to the term of user's input, from video library, some correlation time corresponding with described term in video to be recommended and described video to be recommended is obtained in inquiry.
S820, the occurrence frequency according to described term in described video to be recommended, calculates the degree of correlation of at least two videos to be recommended and described term.
After obtaining the correlation time point of video to be recommended and described video to be recommended, the frequency that can occur in described video to be recommended according to described term, calculates the degree of correlation of at least two videos to be recommended and described term.
The described degree of correlation is the array of a value between 0 to 1, for representing the correlation degree of the term that video to be recommended and user submit to.Preferably, can preset the number of times that a term occurs at most in video to be recommended, this number of times occurring at most can be set according to experience.After having set the number of times of term maximum appearance in video to be recommended, the number of times that can occur in video to be recommended with term, divided by the number of times of described maximum appearance, has just obtained the degree of correlation of video to be recommended and described term.
S830, sorts to described at least two videos to be recommended according to the degree of correlation of described video to be recommended and described term.
After calculating the degree of correlation of described video to be recommended and described term, according to the described degree of correlation, described at least two videos to be recommended are sorted.Preferably, can to described at least two leaders of a group of people, build video according to the descending of the degree of correlation sorts.
S840, shows with setting means the correlation time point of described video to be recommended and described video to be recommended to user, and the play time of described video to be recommended is positioned to described correlation time of point.
After described at least two videos to be recommended are sorted, according to the clooating sequence of described at least two videos to be recommended is shown some correlation time of described video to be recommended and described video to be recommended to user.
When described video to be recommended is shown to user, the reproduction time of described video to be recommended need to be positioned to described correlation time of point.
The present embodiment is by the term inputting according to user, after from video library, inquiry is obtained and is put correlation time corresponding with described term in video to be recommended and described video to be recommended, occurrence frequency according to described term in described video to be recommended, calculate the degree of correlation of at least two videos to be recommended and described term, according to the degree of correlation of described video to be recommended and described term, described at least two videos to be recommended are sorted, make to recommend user's video according to the correlation degree sequence of the keyword with user's submission, being convenient to user checks video according to the correlation degree of the term with oneself submitting to.
Fig. 9 shows the sixth embodiment of the present invention.
Fig. 9 is the structural drawing of the video acquisition device that provides of sixth embodiment of the invention.Referring to Fig. 9, described video acquisition device comprises: time point acquisition module 930 and display module 960.
Described time point acquisition module 930, for according to the term of user's input, is inquired about and is obtained some correlation time corresponding with described term in video to be recommended and described video to be recommended from video library.
Described display module 960 is for showing with setting means point correlation time of described video to be recommended and described video to be recommended to user.
Preferably, described video acquisition device also comprises: module 920 set up in sound identification module 910 and index.
Described sound identification module 910 is for the term inputting according to user, before from video library, inquiry is obtained and is put correlation time corresponding with described term in video to be recommended and described video to be recommended, video in described video library is carried out to speech recognition, the time point occurring to obtain keyword and described keyword from voice identification result.
Described index is set up module 920 for the term inputting according to user, before inquiry is obtained and put correlation time corresponding with described term in video to be recommended and described video to be recommended from video library, according to keyword and time point thereof, set up keyword-time point index.
Preferably, described time point acquisition module 930 comprises: keyword lookup unit 931 and time point determining unit 932.
The keyword mating with described term, for according to the term of user's input, in keyword-time point index of video, is searched in described keyword lookup unit 931 in described video library.
Described time point determining unit 932 is for the video that matches keyword is defined as to video to be recommended, and using the time point of the keyword of coupling as some correlation time.
Preferably, described time point acquisition module 930 comprises: voice recognition unit 933 and time point acquiring unit 934.
Described voice recognition unit 933, for according to the term of user's input, carries out speech recognition to described video library, to search the content of mating with described term, as keyword.
Described time point acquiring unit 934 is for the video that matches keyword is defined as to video to be recommended, and obtains the time point that described keyword occurs, as some correlation time.
Preferably, described display module comprises: list interface display unit 961 or broadcast interface display unit 962.
Described list interface display unit 961 shows in returning to webpage for the thumbnail that described video to be recommended is set to two field picture, and with the form of text, marks some correlation time of described video to be recommended.
Described broadcast interface display unit 962 is shown some correlation time of described video to be recommended with the form of time tag for the broadcast interface at described video to be recommended.
Preferably, described video acquisition device also comprises: relatedness computation module 940 and video order module 950.
Described relatedness computation module 940 is for the term inputting according to user, after from video library, inquiry is obtained and is put correlation time corresponding with described term in video to be recommended and described video to be recommended, occurrence frequency according to described term in described video to be recommended, calculates the degree of correlation of at least two videos to be recommended and described term.
Described video order module 950 is for the term inputting according to user, after from video library, inquiry is obtained and put correlation time corresponding with described term in video to be recommended and described video to be recommended, according to the degree of correlation of described video to be recommended and described term, described at least two videos to be recommended are sorted.
Preferably, described video acquisition device also comprises: time point locating module 970.
Described time point locating module 970 when the correlation time point of described video to be recommended and described video to be recommended is shown to user with setting means, is positioned at described correlation time of point by the play time of described video to be recommended.
The invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.
Those of ordinary skills should be understood that, above-mentioned each module of the present invention or each step can realize with general calculation element, they can concentrate on single calculation element, or be distributed on the network that a plurality of calculation elements form, alternatively, they can realize with the executable program code of computer installation, thereby they can be stored in memory storage and be carried out by calculation element, or they are made into respectively to each integrated circuit modules, or a plurality of modules in them or step are made into single integrated circuit module realize.Like this, the present invention is not restricted to the combination of any specific hardware and software.
Each embodiment in this instructions all adopts the mode of going forward one by one to describe, and each embodiment stresses is the difference with other embodiment, the same or analogous part between each embodiment mutually referring to.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, to those skilled in the art, the present invention can have various changes and variation.All any modifications of doing, be equal to replacement, improvement etc., within protection scope of the present invention all should be included within spirit of the present invention and principle.
Claims (14)
1. a video acquiring method, is characterized in that, comprising:
According to the term of user's input, from video library, some correlation time corresponding with described term in video to be recommended and described video to be recommended is obtained in inquiry;
Point correlation time of described video to be recommended and described video to be recommended is shown to user with setting means.
2. method according to claim 1, is characterized in that, according to the term of user's input, before from video library, inquiry is obtained and put correlation time corresponding with described term in video to be recommended and described video to be recommended, also comprises:
Video in described video library is carried out to speech recognition, the time point occurring to obtain keyword and described keyword from voice identification result;
According to keyword and time point thereof, set up keyword-time point index.
3. method according to claim 2, is characterized in that, according to the term of user's input, from video library, inquiry is obtained to put and comprised correlation time corresponding with described term in video to be recommended and described video to be recommended:
According to the term of user's input, in described video library, in keyword-time point index of video, search the keyword mating with described term;
The video that matches keyword is defined as to video to be recommended, and using the time point of the keyword of coupling as some correlation time.
4. method according to claim 1, is characterized in that, according to the term of user's input, from video library, inquiry is obtained to put and comprised correlation time corresponding with described term in video to be recommended and described video to be recommended:
Term according to user's input, carries out speech recognition to described video library, to search the content of mating with described term, as keyword;
The video that matches keyword is defined as to video to be recommended, and obtains the time point that described keyword occurs, as some correlation time.
5. according to the arbitrary described method of claim 1-4, it is characterized in that, some correlation time of described video to be recommended and described video to be recommended shown and comprised to user with setting means:
The thumbnail of setting two field picture in described video to be recommended is shown in returning to webpage, and with the form of text, mark some correlation time of described video to be recommended; Or
In the broadcast interface of described video to be recommended, with the form of time tag, show some correlation time of described video to be recommended.
6. according to the arbitrary described method of claim 1-4, it is characterized in that, according to the term of user's input, after inquiry is obtained and put correlation time corresponding with described term in video to be recommended and described video to be recommended from video library, also comprise:
Occurrence frequency according to described term in described video to be recommended, calculates the degree of correlation of at least two videos to be recommended and described term;
According to the degree of correlation of described video to be recommended and described term, described at least two videos to be recommended are sorted.
7. according to the arbitrary described method of claim 1-4, it is characterized in that, when the correlation time of described video to be recommended and described video to be recommended, point showed to user with setting means, also comprise:
The play time of described video to be recommended is positioned to described correlation time of point.
8. a video acquisition device, is characterized in that, comprising:
Time point acquisition module for according to the term of user's input, is inquired about and is obtained some correlation time corresponding with described term in video to be recommended and described video to be recommended from video library;
Display module, for showing with setting means point correlation time of described video to be recommended and described video to be recommended to user.
9. device according to claim 8, is characterized in that, also comprises:
Sound identification module, for the term inputting according to user, before from video library, inquiry is obtained and is put correlation time corresponding with described term in video to be recommended and described video to be recommended, video in described video library is carried out to speech recognition, the time point occurring to obtain keyword and described keyword from voice identification result;
Module set up in index, for the term inputting according to user, before inquiry is obtained and put correlation time corresponding with described term in video to be recommended and described video to be recommended from video library, according to keyword and time point thereof, set up keyword-time point index.
10. device according to claim 9, is characterized in that, described time point acquisition module comprises:
The keyword mating with described term for according to the term of user's input, in keyword-time point index of video, is searched in keyword lookup unit in described video library;
Time point determining unit, for the video that matches keyword is defined as to video to be recommended, and using the time point of the keyword of coupling as some correlation time.
11. devices according to claim 8, is characterized in that, described time point acquisition module comprises:
Voice recognition unit, for according to the term of user's input, carries out speech recognition to described video library, to search the content of mating with described term, as keyword;
Time point acquiring unit, for the video that matches keyword is defined as to video to be recommended, and obtains the time point that described keyword occurs, as some correlation time.
12. according to Claim 8-11 arbitrary described devices, is characterized in that, described display module comprises:
List interface display unit, shows in returning to webpage for the thumbnail that described video to be recommended is set to two field picture, and with the form of text, marks some correlation time of described video to be recommended; Or
Broadcast interface display unit, shows some correlation time of described video to be recommended with the form of time tag for the broadcast interface at described video to be recommended.
13. according to Claim 8-11 arbitrary described devices, is characterized in that, also comprise:
Relatedness computation module, for the term inputting according to user, after from video library, inquiry is obtained and is put correlation time corresponding with described term in video to be recommended and described video to be recommended, occurrence frequency according to described term in described video to be recommended, calculates the degree of correlation of at least two videos to be recommended and described term;
Video order module, for the term inputting according to user, after from video library, inquiry is obtained and put correlation time corresponding with described term in video to be recommended and described video to be recommended, according to the degree of correlation of described video to be recommended and described term, described at least two videos to be recommended are sorted.
14. according to Claim 8-11 arbitrary described devices, is characterized in that, also comprise:
Time point locating module, when the correlation time point of described video to be recommended and described video to be recommended is shown to user with setting means, is positioned at described correlation time of point by the play time of described video to be recommended.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105163049A (en) * | 2015-08-26 | 2015-12-16 | 深圳市金锐显数码科技有限公司 | Method and device for playing television program |
| CN105357475A (en) * | 2015-10-28 | 2016-02-24 | 小米科技有限责任公司 | Video playing method and device |
| CN105721900A (en) * | 2014-12-05 | 2016-06-29 | 鹏博士电信传媒集团股份有限公司 | Video switching method, apparatus and system |
| CN105898362A (en) * | 2015-11-25 | 2016-08-24 | 乐视网信息技术（北京）股份有限公司 | Video content retrieval method and device |
| CN106294454A (en) * | 2015-05-29 | 2017-01-04 | 中兴通讯股份有限公司 | Video retrieval method and device |
| CN106412634A (en) * | 2016-09-07 | 2017-02-15 | 华为技术有限公司 | Media file pushing method, media file server and media file pushing system |
| CN106789586A (en) * | 2016-12-27 | 2017-05-31 | Tcl集团股份有限公司 | Based on message prompt method and system, mobile terminal under many people's chat environments |
| CN107704609A (en) * | 2017-10-18 | 2018-02-16 | 浪潮金融信息技术有限公司 | Video content retrieval method and device, computer-readable recording medium, terminal |
| CN109726320A (en) * | 2018-12-30 | 2019-05-07 | 中国电子科技集团公司信息科学研究院 | A kind of internet video crawler method, system and search system based on Multi-source Information Fusion |
| CN112256912A (en) * | 2020-09-16 | 2021-01-22 | 珠海市新德汇信息技术有限公司 | Intelligent marking analysis and playing method for trial video |
| CN112995642A (en) * | 2021-02-04 | 2021-06-18 | 深圳小豆视觉科技有限公司 | Naked eye 3D dual-channel data processing working method based on intelligent mobile handheld terminal |
| CN113490057A (en) * | 2021-06-30 | 2021-10-08 | 海信电子科技(武汉)有限公司 | Display device and media asset recommendation method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101196919A (en) * | 2007-12-21 | 2008-06-11 | 北京天天宽广网络科技有限公司 | Index and query method based on audio and video segment |
| US20090070850A1 (en) * | 2006-03-15 | 2009-03-12 | Tte Technology, Inc. | System and method for searching video signals |
| CN103778204A (en) * | 2014-01-13 | 2014-05-07 | 北京奇虎科技有限公司 | Voice analysis-based video search method, equipment and system |
-
2014
- 2014-06-25 CN CN201410291409.3A patent/CN104036018A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090070850A1 (en) * | 2006-03-15 | 2009-03-12 | Tte Technology, Inc. | System and method for searching video signals |
| CN101196919A (en) * | 2007-12-21 | 2008-06-11 | 北京天天宽广网络科技有限公司 | Index and query method based on audio and video segment |
| CN103778204A (en) * | 2014-01-13 | 2014-05-07 | 北京奇虎科技有限公司 | Voice analysis-based video search method, equipment and system |
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105721900A (en) * | 2014-12-05 | 2016-06-29 | 鹏博士电信传媒集团股份有限公司 | Video switching method, apparatus and system |
| CN106294454A (en) * | 2015-05-29 | 2017-01-04 | 中兴通讯股份有限公司 | Video retrieval method and device |
| CN105163049A (en) * | 2015-08-26 | 2015-12-16 | 深圳市金锐显数码科技有限公司 | Method and device for playing television program |
| CN105357475A (en) * | 2015-10-28 | 2016-02-24 | 小米科技有限责任公司 | Video playing method and device |
| CN105898362A (en) * | 2015-11-25 | 2016-08-24 | 乐视网信息技术（北京）股份有限公司 | Video content retrieval method and device |
| WO2017088415A1 (en) * | 2015-11-25 | 2017-06-01 | 乐视控股（北京）有限公司 | Method, apparatus and electronic device for video content retrieval |
| US10911802B2 (en) | 2016-09-07 | 2021-02-02 | Huawei Technologies Co., Ltd. | Media file pushing method, media file server, and media file pushing system |
| CN106412634A (en) * | 2016-09-07 | 2017-02-15 | 华为技术有限公司 | Media file pushing method, media file server and media file pushing system |
| WO2018045893A1 (en) * | 2016-09-07 | 2018-03-15 | 华为技术有限公司 | Media file pushing method, media file server, and media file pushing system |
| CN106789586A (en) * | 2016-12-27 | 2017-05-31 | Tcl集团股份有限公司 | Based on message prompt method and system, mobile terminal under many people's chat environments |
| CN107704609A (en) * | 2017-10-18 | 2018-02-16 | 浪潮金融信息技术有限公司 | Video content retrieval method and device, computer-readable recording medium, terminal |
| CN107704609B (en) * | 2017-10-18 | 2021-01-08 | 浪潮金融信息技术有限公司 | Video content retrieval method and device, computer-readable storage medium and terminal |
| CN109726320A (en) * | 2018-12-30 | 2019-05-07 | 中国电子科技集团公司信息科学研究院 | A kind of internet video crawler method, system and search system based on Multi-source Information Fusion |
| CN109726320B (en) * | 2018-12-30 | 2021-10-08 | 中国电子科技集团公司信息科学研究院 | Internet video crawler method, system and search system based on multi-source information fusion |
| CN112256912A (en) * | 2020-09-16 | 2021-01-22 | 珠海市新德汇信息技术有限公司 | Intelligent marking analysis and playing method for trial video |
| CN112995642A (en) * | 2021-02-04 | 2021-06-18 | 深圳小豆视觉科技有限公司 | Naked eye 3D dual-channel data processing working method based on intelligent mobile handheld terminal |
| CN112995642B (en) * | 2021-02-04 | 2023-02-24 | 深圳小豆视觉科技有限公司 | Naked eye 3D dual-channel data processing working method based on intelligent mobile handheld terminal |
| CN113490057A (en) * | 2021-06-30 | 2021-10-08 | 海信电子科技(武汉)有限公司 | Display device and media asset recommendation method |
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