LU101695B1 - Traditional Ancient Village Propagation System and Method Based on Multimedia Digital Technology - Google Patents

Abstract

The present invention relates to a traditional ancient village propagation system and method based on multimedia digital technology, which solves the technical problem of low propagation efficiency by VR system, key feature extraction system, recommendation system and network system for data interconnection; VR system is used to collect data of real scenes of traditional ancient villages, model VR and aggregate all VR models of all traditional ancient villages into a VR model library. The key feature extraction system is used to extract and match the inherent features of traditional ancient villages from VR model and user evaluation, and establish the mapping relations between feature words and corresponding traditional ancient villages. The recommendation system is technical program to be used to customize or automatically capture characteristics of the user, recommend traditional ancient villages with user's preferences, get VR models for users to preview, and send the previewed results of user to traditional ancient villages or other users for propagation, which solves the problem better and can be used for the propagation of traditional ancient villages.

Description

101695 | | Traditional Ancient Village Propagation System and Method .

Based on Multimedia Digital Technology | Technical Field of the Invention ; The present invention relates to the field of traditional ancient village propagation, | specifically to a traditional ancient village propagation system and method based on multimedia 0 digital technology. © Deseription of Related Art | Ttraditional ancient villages refer to villages that have a long history, and retained a | relatively large historical origin, i.e. the sites, built environment and built style of them have not changed greatly. these villages have unique folk customs and are still serving people | today,although they have experienced a long time. | Existing propagation of traditional ancient villages is mainly through the Internet platform, E travel APP, etc. In view of the low feedback ratio of users to traditional ancient villages, this | : method cannot effectively recommend traditional ancient villages that new users actually love or ; like, which reduces the spreading efficiency of traditional ancient villages propagation to some | extent. In addition, pictures and other methods mainly used at present cannot give users an early | experience of the artistic conception of traditional ancient villages, which leads to low efficiency. 0 To solve the above technical problems, the present invention provides a traditional ancient È village propagation system and method based on multimedia digital technology. It can efficiently ; | and intuitively propagate traditional ancient villages to users and make recommendations more | accurate. Contents of the Invention | The present invention aims to solve the technical problem of low propagation efficiency that | exists in the existing technology. It provides a new traditional ancient village propagation system © based on multimedia digital technology, featuring a high propagation efficiency. |u101695 | The following technical solutions are used to solve the above technical problem: | A traditional ancient village propagation system based on multimedia digital technology, Ewhich is comprised of VR system, key feature extraction system, recommendation system and | network system for data interconnection. . VR system is used to collect data of real scenes of traditional ancient villages, model VR a and aggregate all VR models of all traditional ancient villages into a VR model library. . The key feature extraction system is used to extract and match the inherent features of traditional ancient villages from VR model and user evaluation, and establish the mapping | relations between feature words and corresponding traditional ancient villages. ; The recommendation system is used to customize or automatically capture user's | ' characteristics, recommend the traditional ancient villages with user's preferences, get VR models 2for users to preview, and send the previewed results to traditional ancient villages or other users. |

The working principle of the invention: the invention establishes the VR model and model |base of traditional ancient villages, so that users can experience the actual landscape of traditional | ancient villages in advance.

Meanwhile, according to the parameter update of traditional ancient L villages, the VR model can be updated to improve the efficiency of traditional ancient villages.

In | addition, the propagation of traditional villages through VR can also reduce the cases of | deliberate destruction of traditional ancient villages due to the unwanted traditional ancient | villages.

In addition, the invention improves the accuracy and efficiency of propagation by | |extracting features and grouping traditional ancient villages, establishing mapping relations, and | spreading and propagation according to user similarity and village similarity. a

In the above scheme, for optimization, furthermore, the key feature extraction system stores athe village evaluation function construction program that is comprised of the following steps: È Step 1. According to the VR model, the number of characteristic words in an evaluation |dimension of a traditional ancient village is defined as N, and the characteristic words are . arranged in descending order according to the frequency of occurrence, and the frequency of | characteristic words with serial number i in the arrangement is defined as Fi, Fir, = Fir ;

4 2 u101695 | EI, F > g°, X F,< (9 +1) . The first g characteristic words among N characteristic . words were selected as the dimensional characteristic dictionary to establish a matrix to describe | the village dimension; | Step 2: the village dimension description matrix of step 1 is inclusively optimized to obtain a ; optimized description matrix of the village dimension: | PGi j | log Pp jy» 0 | MIC, J) = POP) .

min(MI), P(i, j)=0 .

Where, both i and j represent characteristic words,and Pi) represents the probability of 7 independent occurrence of characteristic word i while PU) represents the probability of | independent occurrence of characteristic word j, and PED represents the probability of | simultaneous occurrence of characteristic word 1 and characteristic word j; | Where, both i and j represent characteristic words,and PG) represents the probability of : independent occurrence of characteristic word i while PO) represents the probability of | independent occurrence of characteristic word j, and PGE) represents the probability of ; simultaneous occurrence of characteristic word i and characteristic word j; > Step 3. According to the user evaluation data, repeat steps 1-2 to build the optimized user 3 evaluation degree description matrix; | Step 4. The optimized village dimension description matrix of the same village with the | same evaluation dimension and the optimized user evaluation degree description matrix are É. matched and screened to obtain the actual characteristics of traditional ancient villages. | Further, the recommendation system stores a user recommendation program that is suitable | for the VR model of traditional ancient villages and is comprised of the following steps: | Step A. The stay time of users staying in the traditional ancient village VR model is | collected. The stay time of stay represents the parameter value of users’ preference for a | traditional ancient village VR model. The longer the stay time of stay, the higher the preference | value in the traditional ancient village VR model; The user can manually update the preference

» 101695 | value. The priority of the manually updated preference value is automatically calculated | according to the time of stay. ; Step B. Similarity function of interrelated villages is established, the common factors of the ; similar characteristics among the villages are extracted and the propagation model is established. | Step C. The user's preference for the traditional ancient village VR model is taken as the ; input value to calculate the direct similarity of each village through the cosine similarity method; | Step D. The indirect similarity of any village with respect to other villages is calculated ; through the propagation model in step B; | Step E. The final similarity of a village is calculated by weighting and fusing the direct | similarity and loudness of a village with the indirect similarity of any other village. A Step F. The final similarity of all villages is calculated, and the villages are classified .

according to the final similarity; | Step G. The other villages classified in the same group in step F are recommended to users. .

Further, calculate the direct similarity of each village by cosine similarity method, including: |.

Step a, the direct similarity is defined as: . — = uv Yiel Tui~Tvi ; SIMU, V) = COS, VD) = 077 = a .

Where: ry; is the preference value of user u to village i, I is the set of villages where user u 5 and user v simultaneously reach the predetermined threshold of preferences in the village model; | and Ÿ isthe preference vector of user u to the villages in the village model a Step b. Subtracts the average value of preferences in all the village models based on step a to | modify the direct similarity, and the modified direct similarity is: | ‘ ; = — Éterlur—Fu)C'oi—Po) : | sim(u, v) Viet ui Fu) Eier(rpi- F0)? | Where: Tu’ is the average value of user u's preferences for all villages. .

Co Co W101695 |

Further, the maximum of user's stay time in the traditional ancient village VR model is |collected, and the the maximum is set as 1, the rest of the stay time is normalized, and the | normalized calculation result is defined as the preference value of automatic collection; :

The preference value can be set between 0 and 1 by user manually. 1

The invention also provides a traditional ancient village propagation method based on : multimedia digital technology that is based on the aforementioned traditional ancient village ; propagation system based on multimedia digital technology.

This traditional ancient village : propagation method is comprised of: ;

Step 1: Collect the parameters of traditional ancient villages, and establish VR models of /

traditional village by using the VR modeling approach; | Step 2: Collect the characteristic parameters of VR model of traditional ancient villages, and ;

group the traditional ancient villages by features; /

Step 3: Collect the stay time of users staying in the traditional ancient village VR model as ;

the scoring coefficient to define users' scores of VR models of traditional ancient villages. |

Step 4. For similar users, VR models of traditional ancient villages with features clustered in ; the same group are recommended to the similar users or value users to search the similar | traditional ancient villages, and VR models of traditional ancient villages with features clustered |in the same group are recommended to the users to complete the propagation of traditional | ancient villages. |

Specifically, the VR modeling method is implemented by the VR-GIS method. | The beneficial effect of the invention: the invention achieves high efficiency and accurate |delivery of traditional ancient villages to users through VR modeling and using methods, as well |as extracting modeling features of traditional villages from similar stages, users’ similarity | grouping, and taking the visiting time of users to traditional ancient villages as a preference value |to represent extroversion.

The high efficiency of propagation is achieved. | Description of figures: |

The invention will be further described in combination with figures and embodiments. A FIG. 1. Flow chart of program construction of village evaluation function in embodiment 1. | FIG. 2, Flow chart of a user recommendation program in embodiment 1. : FIG. 3. Flow chart of traditional ancient village propagation methods. | Detailed description of particular embodiments: | The invention will be further described in detail in combination with accompanied drawings a and examples for the purpose of clear understanding of the objective, technical solution and : advantages of the invention. It should be understood that various embodiments described herein | are only used to explain the invention rather than define the invention. .

Embodiment 1 | The embodiment provides a traditional ancient village propagation system based on | multimedia digital technology that is characterized by: the traditional ancient village propagation É system mentioned above is comprised of VR system, key feature extraction system, | recommendation system and network system for data interconnection; | VR system is used to collect data of real scenes of traditional ancient villages, model VR ; and aggregate all VR models of all traditional ancient villages into a VR model library. ; The key feature extraction system is used to extract and match the inherent features of . traditional ancient villages from VR model and user evaluation, and establish the mapping | relations between feature words and corresponding traditional ancient villages.

The recommendation system is used to customize or automatically capture user's | characteristics, recommend the traditional ancient villages with user's preferences, get VR models | for users to preview, and send the previewed results to traditional ancient villages or other users. | The working principle of the embodiment: the invention establishes the VR model and | model base of traditional ancient villages, so that the users can experience the actual landscape of | traditional ancient villages in advance. Meanwhile, according to the parameter update of | traditional ancient villages, the VR model can be updated to improve the efficiency of traditional |

. . . . , . lu101695 ancient villages. In addition, the propagation of traditional villages through VR can also reduce the cases of deliberate destruction of traditional ancient villages due to the unwanted traditional ancient villages. In addition, the invention improves the accuracy and efficiency of propagation by extracting features and grouping traditional ancient villages, establishing mapping relations, and spreading and propagation according to user similarity and village similarity.

Specifically, the key feature extraction system stores the village evaluation function building program, as shown in Figure 1. The village evaluation function building program is composed of the following steps: Step 1. According to the VR model, the number of characteristic words in an evaluation dimension of a traditional ancient village is defined as N, and the characteristic words are arranged in descending order according to the frequency of occurrence, and the frequency of | characteristic words with serial number i in the arrangement is defined as Fi, F;_4 > Fi» 2 Yo Fy =g?% LE FA < (g+1) . The first g characteristic words among N characteristic words were selected as the dimensional characteristic dictionary to establish a matrix to describe the village dimension; Step 2: The village dimension description matrix of Step 1 is inclusively optimized to obtain a optimized description matrix of the village dimension: P(i j flo, ED pi jy» 0 MIG, j)= PEP) min(MI), P(i, j}=0 Where, both i and j represent characteristic words,and PC) represents the probability of independent occurrence of characteristic word i while PO) represents the probability of | independent occurrence of characteristic word j, and PCD represents the probability of simultaneous occurrence of characteristic word i and characteristic word j; Step 3. According to the user evaluation data, repeat steps 1-2 to build the optimized user evaluation degree description matrix; Step 4. The optimized village dimension description matrix of the same village with the See...

same evaluation dimension and the optimized user evaluation degree description matrix are 11076057 matched and screened to obtain the actual characteristics of traditional ancient villages.

Specifically, the recommendation system stores a user recommendation program, as shown | in Fig. 2, that is suitable for the VR model of traditional ancient villages and is comprised of the | following steps: | Step A.

The stay time of users staying in the traditional ancient village VR model is | collected.

The stay time of stay represents the parameter value of users’ preference for a . traditional ancient village VR model.

The longer the stay time of stay, the higher the preference | value in the traditional ancient village VR model; The user can manually update the preference | ; value.

The priority of the manually updated preference value is automatically calculated . | according to the time of stay. | Step B.

Similarity function of interrelated villages is established, the common factors of the i j similar characteristics among the villages are extracted and the propagation model is established. 0 Step C.

The user's preference for the traditional ancient village VR model is taken as the . input value to calculate the direct similarity of each village through the cosine similarity method; . Step D.

The indirect similarity of any village with respect to other villages is calculated | through the propagation model in step B; | | Step E.

The final similarity of a village is calculated by weighting and fusing the direct | similarity and loudness of a village with the indirect similarity of any other village. | Step F.

The final similarity of all villages 1s calculated, and the villages are classitie | according to the final similarity; | Step G.

The other villages classified in the same group in step F are recommended to users. . Where: calculate the direct similarity of each village by cosine similarity method, including: | Step a, the direct similarity is defined as: € ay BP ict Tui Tri | sim(u, v) = cos 9) = Fa) = Toray diel To I EE ae Le T

. . To . lu101695 Where: r,; is the preference value of user u to village i. I is the set of villages where user u and user v simultaneously reach the predetermined threshold of preferences in the village model; and ¥ isthe preference vector of user u to the villages in the village model; Step b. Subtracts the average value of preferences in all the village models based on step a to modify the direct similarity, and the modified direct similarity is: ; Zier (rui— Tu) (Mui) SIMU, V} = FE — (wv) VZier(Fui Fu) Ziel (roi=Fu)? Where: Tu is the average value of user u's preferences for all villages.

Specifically, the maximum of user's stay time in the traditional ancient village VR model can be collected, and the the maximum is set as 1, the rest of the stay time is normalized, and the | 10 normalized calculation result is defined as the preference value automatically collected; The ; preference value can be set between 0 and 1 by user manually. This embodiment expresses only | one mapping association between the stay time and the value of preference, for which,in fact, | multiple mathematical methods can be used to realize the corresponding relationship between the | length of stay time and the value of preference. Of course, the longer the stay time of stay, the | 15 greater the value of preference.

: The invention also provides a traditional ancient village propagation method based on | multimedia digital technology that is based on the aforementioned traditional ancient village propagation system based on multimedia digital technology as shown in Fig. 3. This traditional | ancient village propagation method is comprised of: | 20 Step 1: collect the parameters of traditional ancient villages, and establish VR models of | traditional village by using the VR modeling approach; | Step 2: collect the characteristic parameters of VR model of traditional ancient villages, and | group the traditional ancient villages by features; | Step 3: collect the stay time of users staying in the traditional ancient village VR model as | 25 the scoring coefficient to define users' scores of VR models of traditional ancient villages.

10 |iy Co u101695 |

Step 4. For similar users, VR models of traditional ancient villages with features clustered in |the same group are recommended to the similar users or value users to search the similar | traditional ancient villages, and VR models of traditional ancient villages with features clusteredin the same group are recommended to the users to complete the propagation of traditional |ancient villages. | Specifically, the VR modeling method can be implemented by the VR-GIS method. |

Any part not disclosed in this embodiment may adopt the corresponding scheme of the /

existing art. j

The invention is not limited to the scope of specific embodiments, although they are |described above for the convenience of technical personnel in the technical field to understand ; the invention.

For ordinary technicians in the field of this invention, all inventions and creations :

that utilize the concept of the invention are included in the protection provided that variations are ' within the spirit and scope of the invention as defined and determined by the attached claims. :

Claims (7)

11 | u101695 | Claims )

1. A traditional ancient village propagation system based on multimedia digital technology is | characterized by: the traditional ancient village propagation system mentioned above is | comprised of VR system, key feature extraction system, recommendation system and network ; system for data interconnection; | VR system is used to collect data of real scenes of traditional ancient villages, model VR 2 and aggregate all VR models of all traditional ancient villages into a VR model library. | The key feature extraction system is used to extract and match the inherent features of | traditional ancient villages from VR model and user evaluation, and establish the mapping | relations between feature words and corresponding traditional ancient villages. | The recommendation system is used to customize or automatically capture user's . characteristics, recommend the traditional ancient villages with user's preferences, get VR models = for users to preview, and send the previewed results to traditional ancient villages or other users. |

2. The traditional ancient village propagation system based on multimedia digital technology |. as described in Claim 1 is characterized by: a The key feature extraction system stores the village evaluation function construction E program, which is comprised of the following steps: | Step 1. According to the VR model, the number of characteristic words in an evaluation . dimension of a traditional ancient village is defined as N, and the characteristic words are | arranged in descending order according to the frequency of occurrence, and the frequency of . characteristic words with serial number i in the arrangement is defined as Fi, Fi; = Fi |. Yo Fy 29", ITF, < (g+1) . The first g characteristic words among N characteristic | words were selected as the dimensional characteristic dictionary to establish a matrix to describe .

the village dimension; . , Step 2: the village dimension description matrix of step 1 is inclusively optimized to obtain a © optimized description matrix of the village dimension: | aa EE

| 12 | lu101695 PGj Jog, pg jy>0 MIG, j) = POP) min(MI), P(i, j)=0 Where, both i and j represent characteristic words,and P(i) represents the probability of independent occurrence of characteristic word i while P(j) represents the probability of independent occurrence of characteristic word j, and P(ij) represents the probability of simultaneous occurrence of characteristic word i and characteristic word j;

| Step 3. According to the user evaluation data, repeat steps 1-2 to build the optimized user evaluation degree description matrix; | Step 4. The optimized village dimension description matrix of the same village with the | same evaluation dimension and the optimized user evaluation degree description matrix are | 10 matched and screened to obtain the actual characteristics of traditional ancient villages. |

3. The traditional ancient village propagation system based on multimedia digital technology | as described in Claim 2 is characterized by: The recommendation system stores a user recommendation program that is suitable for the | VR model of traditional ancient villages and is comprised of following steps: | 15 Step A.

The stay time of users staying in the traditional ancient village VR model is ] collected.

The stay time of stay represents the parameter value of users' preference for a | traditional ancient village VR model.

The longer the stay time of stay, the higher the preference / value in the traditional ancient village VR model; The user can manually update the preference value.

The priority of the manually updated preference value is automatically calculated | 20 according to the time of stay. | Step B.

Similarity function of interrelated villages is established, the common factors of the | similar characteristics among the villages are extracted and the propagation model is established. | Step C.

The user's preference for the traditional ancient village VR model is taken as theinput value to calculate the direct similarity of each village through the cosine similarity method; zz Eee]

ur 42 . . . . lu101695 Step D. The indirect similarity of any village with respect to other villages is calculated through the propagation model in step B; Step E. The final similarity of a certain village is calculated by weighting and fusing the direct similarity and loudness of a village with the indirect similarity of any other village. Step F. The final similarity of all villages is calculated, and the villages are classified according to the final similarity; Step G. the other villages classified in the same group in step F are recommended to users.

4. The traditional ancient village propagation system based on multimedia digital technology as described in Claim 3 is characterized by: Calculating the direct similarity of each village by cosine similarity method, including: Step a, the direct similarity is defined as: : — = uv Zier Tui toi SIMAU, v) = COS U,V) = =— = =m >> (u,v) (4,7) [2]+*]9] Eier rui®V Zier Toi” Where: r,; is the preference value of user u to village i, I is the set of villages where user u | and user v simultaneously reach the predetermined threshold of preferences in the village model; and U is the preference vector of user u to the villages in the village model Step b. subtracts the average value of preferences in all the village models based on step a to modify the direct similarity, and the modified direct similarity is: . _ Bier ui Fu) ot Fo) sim(u, v) JEier(rui-Fud*JEier(rvi-Fo)” Where: fu is the average value of user u's preferences for all villages.

5. The traditional ancient village propagation system based on multimedia digital technology as described in Claim 4 is characterized by: Collecting the maximum of user's stay time in the traditional ancient village VR model ,and the the maximum is set as 1, the rest of the stay time is normalized, and the normalized

; . . Iu101695 | calculation result is defined as the preference value of automatic collection; / The preference value can be set between 0 and 1 by user manually. |

6. A traditional ancient village propagation method based on multimedia digital technology | is characterized by such traditional ancient village propagation method based on multimedia | digital technology is based on any of the traditional ancient village propagation system based on : multimedia digital technology as described in Claim 1-5, the method includes: | Step 1: Collect the parameters of traditional ancient villages, and establish VR models of | traditional village by using the VR modeling approach; : Step 2: Collect the characteristic parameters of VR model of traditional ancient villages, and group the traditional ancient villages by features; .

Step 3: Collect the stay time of users staying in the traditional ancient village VR model as / the scoring coefficient to define users' scores of VR models of traditional ancient villages. | Step 4. For similar users, VR models of traditional ancient villages with features clustered in ; the same group are recommended to the similar users or value users to search the similar / traditional ancient villages, and VR models of traditional ancient villages with features clustered | in the same group are recommended to the users to complete the propagation of traditional | ancient villages. |

7. The traditional ancient village propagation system based on multimedia digital technology | as described in Claim 6 is characterized by: the VR modeling method is completed by using the | VR-GIS method. |

EEE EEE EEE TEE TEE TEE EEE IT ET