WO2018035831A1 - 一种视频广告播放系统 - Google Patents
一种视频广告播放系统 Download PDFInfo
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- WO2018035831A1 WO2018035831A1 PCT/CN2016/096805 CN2016096805W WO2018035831A1 WO 2018035831 A1 WO2018035831 A1 WO 2018035831A1 CN 2016096805 W CN2016096805 W CN 2016096805W WO 2018035831 A1 WO2018035831 A1 WO 2018035831A1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/232—Content retrieval operation locally within server, e.g. reading video streams from disk arrays
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- the present invention relates to the field of software technologies, and more particularly to a video advertisement playing system.
- the existing advertisement playing mode it is generally limited to playing or looping some advertisement videos, and does not adaptively change according to changes in the surrounding environment, resulting in a waste of many advertisement playing resources, and does not play a good advertising effect, failing to reach Expected economic benefits.
- the technical problem to be solved by the present invention is to provide a video advertisement playing system for the above-mentioned drawbacks of the prior art.
- a camera module configured to acquire a current scene image including a target user
- An image feature extraction module is configured to perform feature detection on the current scene image, extract image feature points, and perform feature description on the image feature points to obtain feature description data of the entire image;
- a video search module configured to perform a search in the advertisement video library according to the feature description data of the current scene image, to obtain an advertisement video file suitable for the user in the current scene image;
- a video playback module for playing the searched commercial video file for playing the searched commercial video file.
- the video advertisement playing system of the present invention wherein the camera module comprises:
- the sensing unit is configured to automatically sense whether there is a target user before the advertising machine
- a camera driving unit configured to start the camera work when a target user is present, and acquire a current scene image including the target user
- the video advertisement playing system of the present invention wherein the feature description data specifically includes: user height, age, gender, weight, skin color.
- the video advertisement playing system of the present invention further includes:
- a 3D modeling module configured to perform 3D rendering on a current scene image acquired by the camera to obtain a 3D model
- An image fusion module is configured to fuse the current scene image with the 3D model and the advertisement video file for output display.
- the video advertisement playing system of the present invention wherein the advertisement video in the advertisement video library is stored according to different feature description data.
- the video advertisement playing system of the present invention further includes:
- a priority search module configured to sort the feature description data in a priority order, and sequentially search for an appropriate advertisement video from the advertisement video library according to the priority order.
- the user gender and the age are listed as the feature data of the first priority.
- the video advertisement playing system of the present invention wherein the 3D modeling module specifically includes:
- a calculation unit configured to register a current scene image and a sample image captured by the camera, calculate a posture of the camera, and obtain a homography matrix
- a modeling unit configured to draw a rectangular planar 3D model capable of completely covering the target image in the current scene image according to the homography matrix.
- the video advertisement playing system of the present invention wherein the calculating unit specifically includes:
- a first sub-unit configured to register a current scene image and a sample image captured by the camera to obtain an initial homography matrix
- the second sub-unit is configured to perform optical flow tracking on the target image according to the image feature point, the initial homography matrix and the current scene image captured by the camera in real time, and the homography matrix is obtained by the tracking algorithm.
- the invention has the beneficial effects that: by acquiring and analyzing the current scene image, the specific information of the target user that needs to be placed in the advertisement is determined in real time, so as to achieve accurate advertisement delivery.
- FIG. 1 is a schematic block diagram of a video advertisement playing system according to a preferred embodiment of the present invention.
- FIG. 2 is a flow chart 1 of an advertisement playing method based on feature data searching according to a preferred embodiment of the present invention
- FIG. 3 is a second flowchart of an advertisement playing method based on feature data searching according to a preferred embodiment of the present invention
- FIG. 4 is a third flowchart of an advertisement playing method based on feature data searching according to a preferred embodiment of the present invention.
- a schematic block diagram of a video advertisement playing system includes: a camera module 10 for acquiring a current scene image including a target user; and an image feature extraction module 20 for using the current scene
- the image is subjected to feature detection, the image feature points are extracted, and the image feature points are characterized, and the feature description data of the entire image is obtained.
- the video search module 30 is configured to display the feature description data of the current scene image in the advertisement video library. Searching for an advertisement video file suitable for the user in the current scene image; the video playing module 40 is configured to play the searched advertisement video file.
- the specific information of the target user that needs to be placed in the advertisement is determined in real time, so as to achieve accurate advertisement delivery.
- the camera module includes: a sensing unit, configured to automatically sense whether there is a target user in front of the advertising machine; and a camera driving unit, configured to start the camera work when the target user is present, and obtain the current current content including the target user.
- Scene image also includes a camera.
- the feature description data specifically includes: user height, age, gender, weight, skin color.
- the video advertisement playing system further includes: a 3D modeling module, configured to perform 3D rendering on the current scene image acquired by the camera to obtain a 3D model; and an image fusion module, configured to fuse the current scene image with the 3D model and the advertisement video file. The output is displayed.
- a 3D modeling module configured to perform 3D rendering on the current scene image acquired by the camera to obtain a 3D model
- an image fusion module configured to fuse the current scene image with the 3D model and the advertisement video file. The output is displayed.
- the advertisement video in the advertisement video library is stored according to different feature description data.
- the video advertisement playing system further includes: a priority searching module, configured to sort the feature description data in a priority order, and sequentially search for an appropriate advertisement video from the advertisement video library according to the priority order.
- a priority searching module configured to sort the feature description data in a priority order, and sequentially search for an appropriate advertisement video from the advertisement video library according to the priority order.
- the user gender and age are listed as the first priority feature description data.
- the 3D modeling module specifically includes: a calculating unit configured to register a current scene image and a sample image captured by the camera, calculate a posture of the camera, and obtain a homography matrix; and a modeling unit, According to the homography matrix, a rectangular planar 3D model capable of completely covering the target image in the current scene image is drawn.
- the calculating unit specifically includes: a first subunit for registering the current scene image and the sample image captured by the camera to obtain an initial homography matrix; and a second subunit for matching the image according to the image
- the quasi-successful image feature points, the initial homography matrix and the current scene image captured by the camera in real time, the optical flow tracking of the target image, and the homography matrix is obtained by the tracking algorithm.
- FIG. 2 a flow of an advertisement playing method based on feature data search is provided as shown in FIG. 2, including the following steps:
- Step S10 The camera acquires a current scene image including the target user.
- Step S20 performing feature detection on the current scene image, extracting image feature points, and performing feature description on the image feature points to obtain feature description data of the entire image;
- Step S30 Perform a search in the advertisement video library according to the feature description data of the current scene image, and obtain an advertisement video file suitable for the user in the current scene image;
- Step S40 Playing the searched advertisement video file.
- step S10 the camera acquires a current scene image including a target user, and specifically includes:
- Step S11 The sensor automatically senses whether there is a target user before the advertisement machine
- Step S12 When there is a target user, start the camera work to acquire the current scene image including the target user.
- the feature description data in each step includes: user height, age, gender, weight, and skin color.
- each feature description data is a feature of the target user.
- multiple target users multiple target users are simultaneously detected, and respective feature description data are obtained, and according to respective target users.
- Different types of feature description data generate charts, and take the features with the same type of feature description data.
- the above advertisement playing method further includes the steps of:
- Step S50 Perform 3D rendering on the current scene image acquired by the camera to obtain a 3D model.
- Step S60 Fusion the current scene image with the 3D model and the advertisement video file for output display.
- steps S50 and S60 can be used to implement 3D advertisement video playback, and the target user is placed in the advertisement video file to make it feel immersive and better experience the advertisement effect.
- the advertisement video in the advertisement video library is stored according to different feature description data.
- the storage is performed according to different types of feature description data, for example, the advertisement video files for the same gender are stored in one folder, the advertisement video files for the same age are stored in one folder, and the like.
- the above method further comprises the steps of: arranging the feature description data in order of priority, and sequentially searching for an appropriate advertisement video from the advertisement video library according to the priority order. For example, first searching for a folder corresponding to the feature data of the first priority, and obtaining a first group of advertisement videos, and searching for the feature data of the second priority in the current first group of advertisement video files, and obtaining the first
- the two sets of advertisement videos, in the current second group of advertisement video files, and so on can find a plurality of feature description data thereof, and obtain a list of advertisement video files that can be finally played, and play them in sequence.
- the user gender and the age are listed as the feature data of the first priority.
- Body includes:
- a rectangular planar 3D model capable of completely covering the target image in the current scene image is drawn.
- a homography matrix which specifically includes:
- the initial homography matrix and the current scene image captured by the camera in real time the optical flow tracking is performed on the target image, and the homography matrix is obtained by the tracking algorithm.
- a rectangular planar 3D model capable of completely covering the target image in the current scene image is drawn.
Abstract
一种视频广告播放系统，包括：摄像模块（10），用于获取包含目标用户在内的当前场景图像；图像特征提取模块（20），用于对当前场景图像进行特征检测，提取出图像特征点，并对图像特征点进行特征描述，得到整幅图像的特征描述数据；特征描述数据为该目标用户的特征，当有多个目标用户时，同时检测多个目标用户，并得到各自的特征描述数据，并根据多个目标用户各自的不同类型特征描述数据生成图表，取其中同类型特征描述数据最多的特征；视频查找模块（30），用于根据当前场景图像的特征描述数据，在广告视频库中进行搜索，得到适合针对当前场景图像中的用户投放的广告视频文件；视频播放模块（40），用于播放搜索到的广告视频文件。
Description
本发明涉及软件技术领域，更具体地说，涉及一种视频广告播放系统。
现有的广告播放方式中，一般仅限于固定或循环播放一些广告视频，而不会根据周围环境变化自适应调换，导致很多广告播放资源浪费，没有起到很好的广告投放效果，达不到预期的经济收益。
发明内容
本发明要解决的技术问题在于，针对现有技术的上述缺陷，提供一种视频广告播放系统。
本发明解决其技术问题所采用的技术方案是：
构造一种视频广告播放系统，其中，包括：
摄像模块，用于获取包含目标用户在内的当前场景图像；
图像特征提取模块，用于对所述当前场景图像进行特征检测，提取出图像特征点，并对图像特征点进行特征描述，得到整幅图像的特征描述数据；
视频查找模块，用于根据当前场景图像的特征描述数据，在广告视频库中进行搜索，得到适合针对当前场景图像中的用户投放的广告视频文件；
视频播放模块，用于播放搜索到的广告视频文件。
本发明所述的视频广告播放系统，其中，所述摄像模块包括：
感应单元，用于自动感应广告机前是否有目标用户；
摄像机驱动单元，用于在有目标用户时，启动所述摄像机工作，获取包含目标用户在内的当前场景图像；
还包括，摄像机。
本发明所述的视频广告播放系统，其中，所述特征描述数据具体包括：用户身高、年龄、性别、体重、肤色。
本发明所述的视频广告播放系统，其中，还包括：
3D建模模块，用于对所述摄像机获取的当前场景图像进行3D渲染，得到3D模型；
图像融合模块，用于将所述当前场景图像与所述3D模型、所述广告视频文件融合输出显示。
本发明所述的视频广告播放系统，其中，所述广告视频库中的广告视频按不同特征描述数据存储。
本发明所述的视频广告播放系统，其中，还包括：
优先级查找模块，用于将所述特征描述数据按优先级顺序排列，根据所述优先级顺序依次从所述广告视频库中查找合适的广告视频。
本发明所述的视频广告播放系统，其中，所述优先级顺序中，用户性别和年龄并列为第一优先级的特征描述数据。
本发明所述的视频广告播放系统，其中，所述3D建模模块具体包括：
计算单元，用于对摄像机捕获的当前场景图像和样本图像进行配准，计算摄像机的姿态，得到单应性矩阵；
建模单元，用于根据所述单应性矩阵，绘制出能将当前场景图像中的目标图片完全覆盖的矩形平面3D模型。
本发明所述的视频广告播放系统，其中，所述计算单元具体包括：
第一子单元，用于对摄像机捕获的当前场景图像和样本图像进行配准，得到初始单应性矩阵；
第二子单元，用于根据图像配准成功的图像特征点、初始单应性矩阵及摄像机实时捕获的当前场景图像，对目标图片进行光流跟踪，由跟踪算法得到单应性矩阵。
本发明的有益效果在于：通过对当前场景图像的获取及分析，实时判断当前需要投放广告的目标用户具体信息，以实现广告精准投放。
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将结合附图及实施例对本发明作进一步说明，下面描述中的附图仅仅是本发明的部分实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他附图：
图1是本发明较佳实施例的视频广告播放系统原理框图；
图2是本发明较佳实施例的基于特征数据查找的广告播放方法流程一；
图3是本发明较佳实施例的基于特征数据查找的广告播放方法流程二；
图4是本发明较佳实施例的基于特征数据查找的广告播放方法流程三。
为了使本发明实施例的目的、技术方案和优点更加清楚，下面将结合本发明实施例中的技术方案进行清楚、完整的描述，显然，所描述的实施例是本发明的部分实施例，而不是全部实施例。基于本发明的实施例，本领域普通技术
人员在没有付出创造性劳动的前提下所获得的所有其他实施例，都属于本发明的保护范围。
本发明较佳实施例的视频广告播放系统原理框图，如图1所示，包括：摄像模块10，用于获取包含目标用户在内的当前场景图像；图像特征提取模块20，用于对当前场景图像进行特征检测，提取出图像特征点，并对图像特征点进行特征描述，得到整幅图像的特征描述数据；视频查找模块30，用于根据当前场景图像的特征描述数据，在广告视频库中进行搜索，得到适合针对当前场景图像中的用户投放的广告视频文件；视频播放模块40，用于播放搜索到的广告视频文件。本实施例通过对当前场景图像的获取及分析，实时判断当前需要投放广告的目标用户具体信息，以实现广告精准投放。
上述视频广告播放系统中，摄像模块包括：感应单元，用于自动感应广告机前是否有目标用户；摄像机驱动单元，用于在有目标用户时，启动摄像机工作，获取包含目标用户在内的当前场景图像；还包括，摄像机。
上述视频广告播放系统中，特征描述数据具体包括：用户身高、年龄、性别、体重、肤色。
上述视频广告播放系统中，还包括：3D建模模块，用于对摄像机获取的当前场景图像进行3D渲染，得到3D模型；图像融合模块，用于将当前场景图像与3D模型、广告视频文件融合输出显示。
上述视频广告播放系统中，广告视频库中的广告视频按不同特征描述数据存储。
上述视频广告播放系统中，还包括：优先级查找模块，用于将特征描述数据按优先级顺序排列，根据优先级顺序依次从广告视频库中查找合适的广告视频。
上述视频广告播放系统中，优先级顺序中，用户性别和年龄并列为第一优先级的特征描述数据。
上述视频广告播放系统中，3D建模模块具体包括：计算单元，用于对摄像机捕获的当前场景图像和样本图像进行配准，计算摄像机的姿态，得到单应性矩阵；建模单元，用于根据单应性矩阵，绘制出能将当前场景图像中的目标图片完全覆盖的矩形平面3D模型。
上述视频广告播放系统中，计算单元具体包括：第一子单元，用于对摄像机捕获的当前场景图像和样本图像进行配准，得到初始单应性矩阵；第二子单元，用于根据图像配准成功的图像特征点、初始单应性矩阵及摄像机实时捕获的当前场景图像，对目标图片进行光流跟踪，由跟踪算法得到单应性矩阵。
本发明的另一实施例中，提供了一种基于特征数据查找的广告播放方法流程如图2所示，包括以下步骤：
步骤S10、摄像机获取包含目标用户在内的当前场景图像；
步骤S20、对当前场景图像进行特征检测，提取出图像特征点，并对图像特征点进行特征描述，得到整幅图像的特征描述数据；
步骤S30、根据当前场景图像的特征描述数据，在广告视频库中进行搜索，得到适合针对当前场景图像中的用户投放的广告视频文件；
步骤S40、播放搜索到的广告视频文件。
如图3所示，上述广告播放方法中，步骤S10：摄像机获取包含目标用户在内的当前场景图像，具体包括：
步骤S11、传感器自动感应广告机前是否有目标用户；
步骤S12、在有目标用户时，启动摄像机工作，获取包含目标用户在内的当前场景图像。
具体地，上述各步骤中特征描述数据具体包括：用户身高、年龄、性别、体重、肤色。当只有一个目标用户时，上述各特征描述数据为该目标用户的特征，当有多个目标用户时，同时检测多个目标用户，并得到各自的特征描述数据，并根据多个目标用户各自的不同类型特征描述数据生成图表，取其中同类型特征描述数据最多的特征。
如图4所示，上述广告播放方法进一步包括步骤：
步骤S50、对摄像机获取的当前场景图像进行3D渲染，得到3D模型；
步骤S60、将当前场景图像与3D模型、广告视频文件融合输出显示。
采用上述步骤S50和步骤S60可以实现3D广告视频播放，并将目标用户置于该广告视频文件中，使其有身临其境的感觉，更好的体验广告效果。
上述广告播放方法中，广告视频库中的广告视频按不同特征描述数据进行存储。具体地，是按照不同类型的特征描述数据进行存储，例如，将针对同一性别的广告视频文件存储在一个文件夹中，将针对同一年龄的广告视频文件存储在一个文件夹中，等等。
上述方法进一步包括步骤：将特征描述数据按优先级顺序排列，根据优先级顺序依次从广告视频库中查找合适的广告视频。例如，先查找第一优先级的特征描述数据对应的文件夹，得到第一组广告视频，在当前的第一组广告视频文件中，再按第二优先级的特征描述数据进行查找，得到第二组广告视频，在当前的第二组广告视频文件中，依此类推，可以查找其中多个特征描述数据，得到最终可以播放的广告视频文件列表，依次进行播放。
优选地，上述优先级顺序中，用户性别和年龄并列为第一优先级的特征描述数据。
上述步骤：对摄像机获取的当前场景图像进行3D渲染，得到3D模型，具
体包括：
对摄像机捕获的当前场景图像和样本图像进行配准，计算摄像机的姿态，得到单应性矩阵；
根据单应性矩阵，绘制出能将当前场景图像中的目标图片完全覆盖的矩形平面3D模型。
上述广告播放方法中，对摄像机捕获的当前场景图像和样本图像进行配准，计算摄像机的姿态，得到单应性矩阵，具体包括：
对摄像机捕获的当前场景图像和样本图像进行配准，得到初始单应性矩阵；
根据图像配准成功的图像特征点、初始单应性矩阵及摄像机实时捕获的当前场景图像，对目标图片进行光流跟踪，由跟踪算法得到单应性矩阵。
上述步骤：对摄像机获取的当前场景图像进行3D渲染，得到3D模型，具体包括：
对摄像机捕获的当前场景图像和样本图像进行配准，计算摄像机的姿态，得到单应性矩阵；
根据单应性矩阵，绘制出能将当前场景图像中的目标图片完全覆盖的矩形平面3D模型。
应当理解的是，对本领域普通技术人员来说，可以根据上述说明加以改进或变换，而所有这些改进和变换都应属于本发明所附权利要求的保护范围。
Claims (9)
- 一种视频广告播放系统，其特征在于，包括：摄像模块，用于获取包含目标用户在内的当前场景图像；图像特征提取模块，用于对所述当前场景图像进行特征检测，提取出图像特征点，并对图像特征点进行特征描述，得到整幅图像的特征描述数据；视频查找模块，用于根据当前场景图像的特征描述数据，在广告视频库中进行搜索，得到适合针对当前场景图像中的用户投放的广告视频文件；视频播放模块，用于播放搜索到的广告视频文件。
- 根据权利要求1所述的视频广告播放系统，其特征在于，所述摄像模块包括：感应单元，用于自动感应广告机前是否有目标用户；摄像机驱动单元，用于在有目标用户时，启动所述摄像机工作，获取包含目标用户在内的当前场景图像；还包括，摄像机。
- 根据权利要求1所述的视频广告播放系统，其特征在于，所述特征描述数据具体包括：用户身高、年龄、性别、体重、肤色。
- 根据权利要求1所述的视频广告播放系统，其特征在于，还包括：3D建模模块，用于对所述摄像机获取的当前场景图像进行3D渲染，得到3D模型；图像融合模块，用于将所述当前场景图像与所述3D模型、所述广告视频文件融合输出显示。
- 根据权利要求1所述的视频广告播放系统，其特征在于，所述广告视 频库中的广告视频按不同特征描述数据存储。
- 根据权利要求3所述的视频广告播放系统，其特征在于，还包括：优先级查找模块，用于将所述特征描述数据按优先级顺序排列，根据所述优先级顺序依次从所述广告视频库中查找合适的广告视频。
- 根据权利要求6所述的视频广告播放系统，其特征在于，所述优先级顺序中，用户性别和年龄并列为第一优先级的特征描述数据。
- 根据权利要求4所述的视频广告播放系统，其特征在于，所述3D建模模块具体包括：计算单元，用于对摄像机捕获的当前场景图像和样本图像进行配准，计算摄像机的姿态，得到单应性矩阵；建模单元，用于根据所述单应性矩阵，绘制出能将当前场景图像中的目标图片完全覆盖的矩形平面3D模型。
- 根据权利要求8所述的视频广告播放系统，其特征在于，所述计算单元具体包括：第一子单元，用于对摄像机捕获的当前场景图像和样本图像进行配准，得到初始单应性矩阵；第二子单元，用于根据图像配准成功的图像特征点、初始单应性矩阵及摄像机实时捕获的当前场景图像，对目标图片进行光流跟踪，由跟踪算法得到单应性矩阵。
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