CN104156478B - A kind of captions matching of internet video and search method - Google Patents
A kind of captions matching of internet video and search method Download PDFInfo
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Abstract
The present invention is captions matching and the search method of a kind of internet video, is comprised the following steps：For the video file of existing text subtitle, index building；Obtain the elementary audio characteristic sequence Z sequences of the video according to Sms divisions：Z1Z2Z3Z4Z5...ZnWith integration and sequence, T-sequence：T1T2T3T4...Tn‑9；Retrieval of each captions one Z sequence fragment of correspondence to video caption, for each video in video index storehouse, takes out its T-sequence, is set to sequence A：A1A2A3...An, the T-sequence of fragment Seg is set to sequence B：B1B2B3...BM,Sequence of calculation A and sequence B best match, and the Euclidean distance of best match is calculated, lookup obtains the minimum video V of distance, used as the video that matching is obtained；Each captions in the video obtained to matching, carry out counter-match and find best match, realize that captions are matched.The present invention sets up index based on voice data, there is provided an a kind of captions Indexing Mechanism and caption detection method for form different video, efficiently and accurate.
Description
Technical field
The present invention relates to computer software technical field, the captions of espespecially a kind of internet video are matched and search method.
Background technology
Video on internet is varied, and the video of identical content, possible coded format is different, and possible code check differs
Sample, possible resolution ratio is different, and a possible video is the fragment of another video.This patent provides one for form difference
A kind of captions Indexing Mechanism and caption detection method of video.In such a case it is difficult to efficient and preparation carry out video
The index of captions, realizes the matching of captions.
The content of the invention
To solve the above problems, the present invention is provided and a kind of sets up the captions of the internet video of index based on voice data
Matching and search method.
The present invention is captions matching and the search method of a kind of internet video, is comprised the following steps：
Step one, the video file for existing text subtitle, index building；
（1）Voice data to video is analyzed, if video has multiple sound channels, multi-channel data is merged into 1
Sound channel；
（2）By the normalization of audio data samples rate；
（3）Framing is carried out to voice data；
（4）For each frame, zero-crossing rate is calculated, obtain the elementary audio characteristic sequence Z of the video according to S ms divisions
Sequence：Z1Z2Z3Z4Z5...Zn;
（5）For each video, in addition to preserving elementary audio characteristic sequence, also preserving a time window is
The integration and sequence of 1000ms, T-sequence：T1T2T3T4...Tn-9, wherein, Tn=Zn+Zn+1+...+Zn+9；Each captions pair
Answer a Z sequence fragment；
Step 2：The retrieval of video caption
（1）For the video I on internet, according in above-mentioned steps one（1）、（2）Step carries out the normalizing of voice data
Change is processed；
（2）By end-point detection algorithm, voice and non-voice are distinguished；
（3）To video I, the length that voice intensive fragment Seg, fragment Seg are taken out wherein is 10-30 seconds；
（4）According to the method for above-mentioned steps one, calculate fragment Seg elementary audio characteristic sequence Z sequences and integration and
Sequence T-sequence；
（5）For each video in video index storehouse, its T-sequence is taken out, be set to sequence A：A1A2A3...An, piece
The T-sequence of section Seg, is set to sequence B：B1B2B3...BM,Sequence of calculation A and sequence B best match, and calculate the Europe of best match
Formula distance, computational methods are as follows：
, take out from the head of sequence A and the same length of sequence B data：A1A2A3...Am, calculate the data and sequence B：
B1B2B3...Bm：Euclidean distance；
, subsequence is offset k, i.e. sequence A1+kA2+kA3+k...Am+k, calculate the Euclidean distance with sequence B；
, subsequence is offset 2k, i.e. sequence A1+2kA2+2kA3+2k...Am+2k, calculate the Euclidean distance with sequence B；
, in this way, until scanning through full sequence；
, find out the most short subsequence A of matching Euclidean distance1+jkA2+jkA3+jk...Am+jk, finer scanning is carried out,
Find out arrangement set A1+jk+dA2+jk+dA3+jk+d...Am+jk+d, wherein-m/2<= d <In=m/2, with sequence
BB1B2B3...BmThe most short sequence of Euclidean distance, as best match sequence；Best match sequence is piece with the distance of sequence B
The distance of section Seg and video；
（6）Lookup obtains the minimum video V of distance, used as the video that matching is obtained；
（7）Each captions in the video obtained to matching, carry out counter-match, calculate the integral sequence of input video,
As A sequences, according to step 2（5）Flow, be B sequences with the corresponding Z sequence fragments of each captions, find best match,
Realize that captions are matched.
Step one（2）Middle sample rate is normalized to 16bit, 8,000 Hz.
Step one（3）Framing is carried out to voice data, according to frame length L ms, frame moves S ms and carries out framing.
Step one（4）In take S for 10 ms.
Advantageous Effects of the invention are：The present invention sets up index based on voice data, by audio frequency characteristics sequence
The structure of row（Integration and sequence）, based on integration and sequence search most have matching video method and based on integration and sequence carry out
A kind of method of captions matching, there is provided a captions Indexing Mechanism and caption detection method for form different video, efficiently
And it is accurate.
Specific embodiment
With reference to embodiment, specific embodiment of the invention is described in further detail.
The present invention is captions matching and the search method of a kind of internet video, is comprised the following steps：
Step one, the video file for existing text subtitle, index building；
（1）Voice data to video is analyzed, if video has multiple sound channels, multi-channel data is merged into 1
Sound channel.
（2）The normalization of audio data samples rate, sample rate are normalized to 16bit, 8,000 Hz, or other adopt
Sample rate.
（3）Framing is carried out to voice data, according to frame length L ms, frame moves S ms and carries out framing.
（4）For each frame, zero-crossing rate is calculated, obtain the elementary audio characteristic sequence Z of the video according to S ms divisions
Sequence：Z1Z2Z3Z4Z5...Zn, S is taken for 10 ms.
（5）For each video, in addition to preserving elementary audio characteristic sequence, also preserving a time window is
The integration and sequence of 1000ms, T-sequence：T1T2T3T4...Tn-9, wherein, Tn=Zn+Zn+1+...+Zn+9；Each captions pair
Answer a Z sequence fragment.
Step 2：The retrieval of video caption
（1）For the video I on internet, according in above-mentioned steps one（1）、（2）Step carries out the normalizing of voice data
Change is processed.
（2）By end-point detection algorithm, voice and non-voice are distinguished.
（3）To video I, the length that voice intensive fragment Seg, fragment Seg are taken out wherein is 10-30 seconds.
（4）According to the method for above-mentioned steps one, calculate fragment Seg elementary audio characteristic sequence Z sequences and integration and
Sequence T-sequence.
（5）For each video in video index storehouse, its T-sequence is taken out, be set to sequence A：A1A2A3...An, piece
The T-sequence of section Seg, is set to sequence B：B1B2B3...BM,Sequence of calculation A and sequence B best match, and calculate the Europe of best match
Formula distance, computational methods are as follows：
, take out from the head of sequence A and the same length of sequence B data：A1A2A3...Am, calculate the data and sequence B：
B1B2B3...Bm：Euclidean distance；
, subsequence is offset k, i.e. sequence A1+kA2+kA3+k...Am+k, calculate the Euclidean distance with sequence B；
, subsequence is offset 2k, i.e. sequence A1+2kA2+2kA3+2k...Am+2k, calculate the Euclidean distance with sequence B；
, in this way, until scanning through full sequence；
, find out the most short subsequence A of matching Euclidean distance1+jkA2+jkA3+jk...Am+jk, finer scanning is carried out,
Find out arrangement set A1+jk+dA2+jk+dA3+jk+d...Am+jk+d, wherein-m/2<= d <In=m/2, with sequence
BB1B2B3...BmThe most short sequence of Euclidean distance, as best match sequence；Best match sequence is piece with the distance of sequence B
The distance of section Seg and video；
（6）Lookup obtains the minimum video V of distance, used as the video that matching is obtained.
（7）Each captions in the video obtained to matching, carry out counter-match, calculate the integral sequence of input video,
As A sequences, according to step 2（5）Flow, be B sequences with the corresponding Z sequence fragments of each captions, find best match,
Realize that captions are matched.
Claims (4)
1. a kind of captions of internet video are matched and search method, it is characterised in that comprised the following steps：
Step one, the video file for existing text subtitle, index building；
（1）Voice data to video is analyzed, if video has multiple sound channels, multi-channel data is merged into 1 sound
Road；
（2）By the normalization of audio data samples rate；
（3）Framing is carried out to voice data；
（4）For each frame, zero-crossing rate is calculated, obtain the elementary audio characteristic sequence Z sequences of the video according to S ms divisions：
Z 1 Z 2 Z 3 Z 4 Z 5 ...Z n ;
（5）For each video, in addition to preserving elementary audio characteristic sequence, it is 1000ms also to preserve a time window
Integration and sequence, T sequences：T1 T 2 T 3 T 4 ...T n-9, wherein, Tn = Zn+Zn+1+...+Zn+9；Each word
Curtain one Z sequence fragment of correspondence；
Step 2：The retrieval of video caption
（1）For the video I on internet, according in above-mentioned steps one（1）、 （2）Step carries out the normalization of voice data
Treatment；
（2）By end-point detection algorithm, voice and non-voice are distinguished；
（3）To video I, the length that voice intensive fragment Seg, fragment Seg are taken out wherein is 10-30 seconds；
（4）According to the method for above-mentioned steps one, the elementary audio characteristic sequence Z sequences and integration and sequence T of fragment Seg are calculated
Sequence；
（5）For each video in video index storehouse, its T sequences are taken out, be set to sequence A：A1 A 2 A 3
...A n, the T sequences of fragment Seg are set to sequence B：B1 B 2 B 3 ...B m, sequence of calculation A and sequence B
Best match, and the Euclidean distance of best match is calculated, computational methods are as follows：
I, the head taking-up from sequence A and the data of the same length of sequence B：A 1 A 2 A 3 ...A m , calculate the data
With sequence B：B1 B 2 B 3 ...B m ：Euclidean distance；
Ii, subsequence is offset k, i.e. sequence A1+k A 2+k A 3+k ...A m+k, calculate the Euclidean distance with sequence B；
Iii, subsequence is offset 2k, i.e. sequence A1+2k A 2+2k A 3+2k ...A m+2k, calculate European with sequence B
Distance；
Iv, in this way, until scanning through full sequence；
V, find out the most short subsequence A of matching Euclidean distance 1+jk A 2+jk A 3+jk ...A m+jk, finer scanning is carried out,
Also arrangement set A is found out1+jk+d A 2+jk+d A 3+jk+d ...A m+jk+d , wherein-m/2<= d <In=m/2, with sequence
B：B 1 B 2 B 3 ...B m The most short sequence of Euclidean distance, as best match sequence；Best match sequence and sequence B
Distance is fragment Seg and the distance of video；
（6）Lookup obtains the minimum video V of distance, used as the video that matching is obtained；
（7）Each captions in the video obtained to matching, carry out counter-match, calculate the integral sequence of input video, as
A sequences, according to step 2（5）Flow, be B sequences with the corresponding Z sequence fragments of each captions, find best match,
Realize that captions are matched.
2. the captions of the internet video according to claim 1 are matched and search method, it is characterised in that step one
（2）Middle sample rate is normalized to 16bit, 8,000 Hz.
3. the captions of the internet video according to claim 1 are matched and search method, it is characterised in that step one
（3）Framing is carried out to voice data, according to frame length L ms, frame moves S ms and carries out framing.
4. the captions of the internet video according to claim 1 are matched and search method, it is characterised in that step one
（4）In take S for 10 ms.
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| CN114579806B (en) * | 2022-04-27 | 2022-08-09 | 阿里巴巴（中国）有限公司 | Video detection method, storage medium and processor |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1367906A (en) * | 1999-07-31 | 2002-09-04 | 朴奎珍 | Study method and apparatus using digital audio and caption data |
| US7378588B1 (en) * | 2006-09-12 | 2008-05-27 | Chieh Changfan | Melody-based music search |
| CN102724598A (en) * | 2011-12-05 | 2012-10-10 | 新奥特（北京）视频技术有限公司 | Method for splitting news items |
| CN102937972A (en) * | 2012-10-15 | 2013-02-20 | 上海外教社信息技术有限公司 | Audiovisual subtitle making system and method |
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| US9158754B2 (en) * | 2012-03-29 | 2015-10-13 | The Echo Nest Corporation | Named entity extraction from a block of text |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1367906A (en) * | 1999-07-31 | 2002-09-04 | 朴奎珍 | Study method and apparatus using digital audio and caption data |
| US7378588B1 (en) * | 2006-09-12 | 2008-05-27 | Chieh Changfan | Melody-based music search |
| CN102724598A (en) * | 2011-12-05 | 2012-10-10 | 新奥特（北京）视频技术有限公司 | Method for splitting news items |
| CN102937972A (en) * | 2012-10-15 | 2013-02-20 | 上海外教社信息技术有限公司 | Audiovisual subtitle making system and method |
Non-Patent Citations (1)
| Title |
|---|
| 基于视频的字幕检索与提取;杨友庆等;《计算机应用》;20001028;第20卷(第10期);第33页－第35页 * |
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Address after: Room 7473, room No. 3, No. 3, Xijing Road, Badachu high tech park, Shijingshan District, Beijing Patentee after: Chinese translation language through Polytron Technologies Inc Address before: Room 7473, room No. 3, No. 3, Xijing Road, Badachu high tech park, Shijingshan District, Beijing Patentee before: Mandarin Technology (Beijing) Co., Ltd. |