JP2013003392A - Sound recording apparatus - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve user-friendliness of a sound recording apparatus.SOLUTION: The sound recording apparatus includes: imaging means which picks up an optical image of a subject and outputs it as an image signal; scene determination means which determines a scene on the basis of the image signal; sound recording means which collects and records sound; and setting means which sets a sound recording condition for sound recording, on the basis of the scene determined by the scene determination means. In one aspect of the sound recording apparatus, it is unnecessary for a user to pay attention to a scene for sound recording to set a sound recording condition by himself or herself because a recommended scene for sound recording is determined on the basis of an image signal and a sound recording condition is set on the basis of the scene of sound recording, so that a suitable sound recording condition can be set more easily.

Description

  The present invention relates to a recording apparatus, and more particularly to a recording apparatus that has an imaging function and performs suitable recording based on a captured image signal.

Conventionally, recording setting information corresponding to a plurality of moving image scenes is recorded in advance, the user is allowed to specify any recording scene when shooting a movie with sound, and based on the recording setting information corresponding to the recording scene, A technique for controlling recording during shooting is disclosed.
JP 2006-217111 A

  In the conventional technique, recording can be controlled based on appropriate recording setting information by setting a recording scene desired by the user. In other words, recording cannot be controlled properly unless a recording scene is set. Therefore, in the conventional technology, even when recording is not intended but appropriate recording is performed, a recording scene corresponding to desired recording setting information must be selected, which is troublesome for the user.

  The present invention solves the above-mentioned problems, and one of the objects of the present invention is to provide a recording apparatus capable of performing a suitable recording setting more easily.

  The recording apparatus of the present invention includes an imaging unit that captures an optical image of a subject and outputs it as an image signal, a scene determination unit that determines a scene based on the image signal, a recording unit that collects and records sound, and a scene determination Setting means for setting recording conditions for recording based on the scene determined by the means.

  According to one aspect of this recording device, the recommended recording scene is determined based on the image signal, and the recording condition is set based on the recording scene. Therefore, the user sets the recording condition himself in consideration of the recording scene. Therefore, it is possible to set a suitable recording condition more easily.

  Preferably, the recording apparatus further includes recording control means for controlling the recording means to perform recording under the recording conditions set by the setting means, and changing means for changing the recording conditions set by the setting means.

  According to this aspect, since the recording condition set based on the image signal can be changed, the recording condition desired by the user is closer.

  Preferably, the information processing apparatus further includes notification means for notifying the recording condition set by the setting means.

  According to this aspect, since the user can recognize the set recording condition by notifying the recording condition, it is possible to determine whether or not the recording condition is desired.

  Preferably, the scene discrimination means discriminates the scene by detecting the number of objects obtained by detecting an object having a predetermined shape or the like from the image signal and / or the degree of separation between the objects.

  According to this aspect, since the number of objects obtained by detecting an object having a predetermined shape from the image signal and / or the degree of separation between the objects can be detected, it is possible to more accurately determine the current scene. I can do it.

  Preferably, the scene discrimination means discriminates the scene by detecting the number of people and / or the degree of separation between people based on the image signal.

  According to this aspect, since the number of persons and / or the degree of separation between persons can be detected, the current scene can be determined with higher accuracy.

  Preferably, the scene discrimination means discriminates the scene by detecting the number of persons and / or the degree of separation between persons based on the face signal included in the image signal.

  According to this aspect, the recording condition set based on the scene determined by the scene determining unit in the setting unit includes a condition for collecting sound using a non-directional microphone or a directional microphone.

  According to this aspect, since the recording condition includes a condition for collecting sound using an omnidirectional microphone or a directional microphone, more suitable recording can be performed.

  The method of setting conditions for recording in a recording apparatus for collecting and recording sound according to the present invention includes a step of capturing an optical image of a subject and outputting it as an image signal, a step of determining a scene based on the image signal, and determination The method comprises a step of setting recording conditions for recording on the basis of the recorded scene. The program of the present invention captures an optical image of a subject and outputs it as an image signal to a processor of an electronic device that includes an imaging means for capturing an optical image of the subject and outputting it as an image signal and a recording means for collecting and recording sound. A step of determining a scene based on the image signal; and a step of setting recording conditions for recording based on the determined scene.

  According to the recording apparatus of the present invention, it is possible to more easily set a suitable recording condition.

It is a block diagram which shows a part of circuit structure of the IC recorder which is one Example of this invention. It is an example of the conceptual diagram which shows each size used for a face recognition process. It is an example of a conceptual diagram showing a face and a size detected in a face recognition process and a pattern recognition process for a captured image of a subject A. It is an example of a conceptual diagram showing a width detected in a space recognition process for a captured image of subject A. FIG. 3 is an example of a conceptual diagram illustrating a face and a size detected in a face recognition process and a pattern recognition process on a captured image of a subject B. 4 is an example of a conceptual diagram showing a face and a size detected in a face recognition process and a pattern recognition process for a captured image of a subject C. FIG. It is an example of a conceptual diagram showing a width detected in space recognition processing for a captured image of subject C. FIG. 3 is an example of a conceptual diagram illustrating a face and a size detected in a face recognition process and a pattern recognition process on a captured image of a subject D. It is an example of a conceptual diagram showing a width detected in space recognition processing for a captured image of subject D. It is an example of the screen which shows the dictation scene mode displayed on LCD28. It is an example of the screen which shows the meeting scene mode displayed on LCD28. It is an example of the screen which shows the lecture scene mode displayed on LCD28. It is an example of the screen which shows the music scene mode displayed on LCD28. It is a recognition table which shows the relationship between the result of face recognition processing, space recognition processing, and pattern recognition processing, and a recommended recording scene. It is a recording scene table which shows the relationship between each recording scene and the parameter of a recording function. It is a flowchart which shows an example of the task which performs the process in an auto scene select function.

  Hereinafter, the embodiment implemented in the IC recorder 10 will be described in detail with reference to the drawings as an embodiment of the recording apparatus of the present invention.

  FIG. 1 shows a block diagram of an IC recorder 10 of this embodiment. The IC recorder 10 includes a lens group 16 including at least an optical lens, a diaphragm (not shown), a CMOS imager unit 18, a signal processing circuit 20, a CPU 22, an operation unit 24, an LCD (Liquid Crystal Display) 28, an external memory card control circuit 30, and an SDRAM 32. , An external memory card 34, a flash memory 36, a bus 38, a codec 40, a microphone unit 42, a speaker 44, a DSP (Digital Signal Processor) 46, and an amplifier 48.

  The microphone unit 42 includes an omnidirectional microphone 42L and an omnidirectional microphone 42R. The sound collected by the microphone unit 42 is output as an analog audio signal and input to the codec 40 connected to the microphone unit 42. The codec 40 performs predetermined digital processing on the input analog audio signal and outputs a digital audio signal.

  The bus 38 is connected to the CPU 22 and the flash memory 36. The CPU 22 controls each circuit and each part of the IC recorder 10 by executing a program stored in the flash memory 36. The IC recorder 10 has a plurality of recording functions, and the CPU 22 executes processing based on parameters set for the recording functions.

  In addition to the CPU 22 and flash memory 36, the CMOS imager unit 18, signal processing circuit 20, LCD 28, external memory card control circuit 30, SDRAM 32, codec 40, and DSP 46 are connected to the bus 38.

  When the digital audio signal stored in the SDRAM 32 is compressed in the MP3 format as a file format, the digital audio signal is output from the SDRAM 32 to the DSP 46. The DSP 46 compresses the input digital audio signal in the MP3 format, and temporarily stores it in the SDRAM 32 as MP3 audio compression data. Then, the CPU 22 controls the external memory controller 30 to record the MP3 audio compression data stored in the SDRAM 32 as an audio file on the external memory card 34.

  When the PCM method is adopted as the file format, the digital audio signal stored in the SDRAM 32 is recorded on the external memory card 34 as an audio file under the control of the external memory card control circuit 30.

  As described above, the process in which the sound collected by the microphone unit 42 is recorded in the external memory card 34 is defined as “recording”.

  When playing back an audio file recorded on the external memory card 34, the audio file recorded on the external memory card 34 is read under the control of the external memory card control circuit 30. When the read audio file includes MP3 compressed audio data, it is input to the DSP 46, subjected to expansion processing, and output to the codec 40 as an expanded digital audio signal. The codec 40 processes the expanded digital audio signal and outputs it to the amplifier 48 as an analog reproduction signal. The amplifier 48 adjusts the gain of the analog reproduction signal and then outputs it to the speaker 44. The speaker 44 outputs the analog reproduction signal subjected to the gain adjustment as sound.

  As described above, the process until the audio file recorded in the external memory card 34 is output as audio from the speaker 44 is defined as “reproduction”.

  The operation unit 24 is connected to the CPU 22 and has a menu key 24a for displaying various menus such as calling a setting screen for setting parameters of the recording function, and a playback button for starting playback processing of the audio file. 24b, a recording button 24c for starting a voice recording process, a cursor key 24d for moving a cursor displayed on the LCD 28, a set button 24e for determining execution of each function, a reproduction process or a recording process A stop button 24f for stopping and an auto scene select button 24g for enabling the auto scene select function are included.

  When the IC recorder 10 is powered on, the IC recorder 10 shifts to a recording standby state. When the menu key 24a is operated in the recording standby state, a setting screen for setting recording function parameters is called up. The user can set desired recording function parameters on the setting screen by operating the cursor key 24d and the set button 24e. The description will be continued assuming that each recording function itself is turned on / off as a parameter.

  The recording function will be described in detail. “ALC” indicating “compression ratio” function for setting the ratio for compressing the sound, “MIC sensitivity” function for setting the microphone sensitivity of the microphones 42L and 42R, and automatic level control for automatically adjusting the amplitude of the audio signal. ”Function,“ LowCut ”function indicating a low cut filter for cutting audio below a predetermined frequency,“ Peak limiter ”function indicating a peak limiter for suppressing sudden excessive input, specified after the recording button 24c is pressed There is a “self-timer” function, which is a function for starting recording when a predetermined time has elapsed, and a “VAS” function, which indicates a voice activation system for temporarily stopping recording of a silent part.

  As parameters of the “compression ratio” function, 32 kbps, 64 kbps, 192 kbps, 320 kbps, which are MP3 systems, and 48 kHz, 16 bits, which are PCM systems, are prepared, and one of them can be selected. Note that 32 kbps represents the speed of data communication indicating whether 32 kilobits of data can be sent per second, and 48 kHz 16 bits represents the sampling frequency 48 kHz quantization bit rate 16 bits.

  Low or Hi is prepared as a parameter of the “MIC sensitivity” function, and one of them can be selected. The microphone sensitivity is low when Low is selected, and the microphone sensitivity is high when Hi is selected.

  On or off can be selected as a parameter of the “ALC” function. Automatic level control is enabled when on is selected, and disabled when off is selected.

  On or off can be selected as a parameter of the “LowCut” function. When on is selected, the low cut filter is enabled, and when off is selected, it is disabled.

  On or off can be selected as a parameter of the “peak limiter” function. The peak limiter is enabled when on is selected, and is disabled when off is selected.

  On or off can be selected as a parameter of the “VAS” function. The voice activation system is activated when on is selected, and is deactivated when off is selected.

  Further, the IC recorder 10 includes a scene selection function that automatically enables a recording function parameter set for each recording scene by designating the recording scene assuming a plurality of recording scenes in advance. .

  FIG. 15 shows a recording scene table showing the parameters of the recording function set for each recording scene. The recording scene table is stored in the flash memory 36. When the dictation scene is selected by the user in the scene selection function, the compression ratio is 64 kbps, the MIC sensitivity is low, the ALC is on, the low cut is on, the peak limiter is off, the self timer is off, and the VAS is off. The screen showing the dictation scene as shown in FIG.

  Similarly, when a conference scene is selected, the CPU 22 refers to the recording scene table, sets parameters for the recording function, and causes the LCD 28 to display a screen showing the conference scene as shown in FIG. When a lecture scene is selected, the CPU 22 refers to the recording scene table, sets parameters for the recording function, and causes the LCD 28 to display a screen showing the lecture scene as shown in FIG. When a music scene is selected, the recording function parameters are set with reference to the recording scene table, and a screen showing the music scene as shown in FIG.

  In the recording standby state, when the recording button 24c is pressed, the CPU 22 starts recording based on the set parameters, and ends recording when the stop button 24f is pressed. When the playback button 24b is pressed in the recording standby state, the CPU 22 starts playback of the audio file, and ends playback by pressing the stop button 24f.

  Further, when the auto scene select button 24g is pressed in the recording standby state, the CPU 22 executes the auto scene select function. The auto scene selection function is a function for specifying a recommended recording scene based on a captured image obtained by using the imaging function of the IC recorder 10. Then, the recording scene table is referred to and the recording function parameters corresponding to the specified recording scene are automatically set.

  The auto scene select function will be described in detail below.

  When the auto scene select button 24g is pressed, the IC recorder 10 starts imaging and acquires a captured image. Specifically, the optical image of the subject is taken into the CMOS imager unit 18 through the lens group 16 and the aperture controlled by a motor driving unit (not shown) according to an instruction from the CPU 22. A digital image pickup signal for one frame is output from the CMOS imager unit 18 by a capture pulse provided by a timing generator (not shown) connected to the CPU 22.

  The CMOS imager unit 18 amplifies the charge accumulated in each pixel, reads out the signal from each pixel as a signal, and performs correlated double sampling processing, gain adjustment, clamping processing, A / D conversion processing is performed. The digital image signal subjected to the processing has one of R, G, and B color signals for each pixel, and is temporarily stored in the SDRAM 32 via the bus 38 under the control of the CPU 22.

  In this embodiment, the CMOS imager unit 18 is used as the image sensor. However, a CCD imager may be used. When a CCD imager is employed, an AFE circuit including correlated double sampling processing, gain adjustment, clamping processing, and A / D conversion processing is added.

  The digital imaging signal once stored in the SDRAM 32 is input to the signal processing circuit 20 under the control of the CPU 22. The signal processing circuit 20 performs color separation processing on the input digital imaging signal, and further converts it into Y, U, and V signals by YUV conversion. Then, the digital image signal converted by the signal processing circuit 20 is stored in the SDRAM 32 again via the bus 38. Thus, the process until the optical image of the subject is stored in the SDRAM 32 through various processes is defined as an imaging process.

  Now, the CPU 22 executes processing for detecting an object having a predetermined shape with respect to the digital image signal for one frame obtained in the imaging processing. More specifically, a face recognition process for detecting a face and a pattern recognition process for detecting a musical instrument and a human head are performed. In the face recognition processing and pattern recognition processing, matching is performed with a plurality of face templates, a plurality of instrument templates, or a plurality of occipital templates prepared as templates from the digital image signal. By identifying where the matched template is located in the digital image signal, the face and / or instrument and / or back of the head is detected.

  For the detected face and / or musical instrument and / or back of the head, the CPU 22 recognizes the respective sizes. The sizes are divided into six types, and FIG. 2 illustrates the six sizes corresponding to the image size of 5 inches. The smallest size is set to 1, then 2, 3, 4, 5 and so on, and the largest size is set to 6. Here, the size 1 is 1.2 cm long × 1 cm wide, but the size is not limited to this.

  For convenience, the image sizes of the captured images A, B, C, and D shown in FIGS. 3 to 9 are assumed to be 5 inches, and description will be made using six sizes corresponding thereto.

  Next, when there are a plurality of detected faces and / or musical instruments and / or occipital heads, the CPU 22 detects the degree of separation indicating how far away each is. The degree of separation measures the width from the center of the face and / or the instrument and / or the back of the head to the center of the face and / or the instrument and / or the back of the head closest to each other, and detects the maximum width among the measured widths. The process of detecting the degree of separation is defined as “space recognition process”.

  Based on the face detection process, the pattern detection process, and the space recognition process, the CPU 22 refers to the recognition table stored in the flash memory 36 and determines a recommended recording scene. As shown in FIG. 14, the recognition table associates recording scenes with the results of face recognition processing, pattern recognition processing, and space recognition processing.

  If the CPU 22 finds that the number of faces is one and the size is 5 or 6 as a result of the face recognition process and that nothing has been recognized as a result of the pattern recognition process, the CPU 22 recommends referring to the recognition table. The recording scene is determined to be an dictation scene.

  As a result of the face recognition process, the number of faces is two or more and the size is any of 3-6, and as a result of the space recognition process, the maximum width corresponds to any of 0-5 cm, the result of the pattern recognition process, If it is found that the instrument has not been recognized, it is determined that the recommended recording scene is a conference scene. In this case, it is determined that the recommended recording scene is the conference scene regardless of whether the back of the head is detected.

  As a result of the face recognition process, it is found that the number of faces is one and the size is 1 or 2, and as a result of the space recognition, the maximum width corresponds to 0-5 cm. As a result of the pattern recognition process, no instrument is detected. When the back of the head is detected, it is determined that the recommended recording scene is a lecture scene.

  As a result of the face recognition process, the number of faces is 1 or more and the size is 1-6. As a result of the space recognition, it is found that the maximum width corresponds to 0 to 12 cm. The recommended recording scene is a music scene. In this case, it is determined that the recommended recording scene is a music scene regardless of whether or not the back of the head is detected.

  If it is found as a result of the face recognition process, the space recognition process and the pattern recognition process that it does not correspond to the recognition table shown in FIG. 15, even if “Scene is not found” is displayed on the LCD 28. good.

  FIG. 3 shows a captured image A that can be determined that the recommended recording scene is a conference scene. As a result of the face recognition process and the pattern recognition process performed by the CPU 22, as shown in FIG. 3, a size 2 face w, x, a size 3 face y, and a size 4 face z are detected from the digital image signal of the captured image A. The instrument will not be detected. As a result of the spatial recognition processing, as shown in FIG. 4, a width K1 = 4 cm between the face w and the face x, a width K2 = 2 cm between the face x and the face y, and a width K3 = 3 cm between the face y and the face z are detected. Then, the maximum width is determined as 4 cm. From this detection result, the CPU 22 refers to the recognition table of FIG. 14 and determines that the recommended recording scene is a conference scene.

  FIG. 5 shows a captured image B that can be determined that the recommended recording scene is an dictation scene. As a result of the face recognition process and the pattern recognition process by the CPU 22, as shown in FIG. 5, the face v of size 6 is detected from the digital image signal of the captured image B, and no musical instrument is detected. From this detection result, the CPU 22 refers to the recognition table in FIG. 14 and determines that the recommended recording scene is an dictation scene.

  FIG. 6 shows a captured image C that can be determined that the recommended recording scene is a lecture scene. As a result of the face recognition processing and pattern recognition by the CPU 22, as shown in FIG. 6, a size t face t is detected from the digital image signal of the captured image C, and the occipital region l, m, n is detected. Note that the face t is smaller than the size 1, but the CPU 22 assigns the most recent size among the sizes 1-6. As a result of the space recognition processing, as shown in FIG. 7, the width K4 between the face t and the back of the head 1 is 4 cm, the width K5 between the back of the head 1 and the back of the head m is 2.5 cm, and the width of the back of the head m and the back of the head n is K6 = 2 cm. Is detected and the maximum width is determined as 4 cm. From this detection result, the CPU 22 refers to the recognition table in FIG. 14 and determines that the recommended scene is a lecture scene.

  FIG. 8 shows a captured image D that can be determined that the recommended recording scene is a music scene. As a result of the face recognition process and the pattern recognition process by the CPU 22, as shown in FIG. 8, the face e, f, g, h of size 1 is detected from the digital image signal of the captured image D, the occipital region i is detected, the instrument o, p, q, r, and s are detected. As a result of the space recognition processing, as shown in FIG. 9, the width K7 = 1.5 cm between the face h and the instrument r, the width K8 = 1.5 cm between the face g and the instrument q, and the width K9 between the face f and the instrument p. = 1.5 cm and the width between the occipital area i and the instrument s = 0 cm is detected, and the maximum width is determined as 1.5 cm. The CPU 22 determines that the recommended scene is a music scene with reference to the recognition table of FIG. 14 based on the detection result.

  When the recommended recording scene is determined, the CPU 22 causes the LCD 28 to display a recording scene screen corresponding to the recommended recording scene. When the recommended recording scene is an dictation scene, a screen showing the dictation scene as shown in FIG. 10 is displayed. When the recommended recording scene is a conference scene, a screen showing the conference scene as shown in FIG. 11 is displayed. When the recommended recording scene is a lecture scene, a screen showing a conference scene as shown in FIG. 12 is displayed. If the recommended recording scene is a music scene, a screen showing the music scene as shown in FIG. 13 is displayed.

  Then, the CPU 22 sets the recording function parameters corresponding to the recommended recording scene with reference to the recording scene table. When the recording button 24c is pressed, the CPU 22 starts recording using the recording function parameters corresponding to the recommended recording scene as recording conditions.

  When customizing the parameters of the recording function, the screen is changed to a screen for changing the parameters by operating the menu key 24a by the user within a predetermined time after the screen of the recording scene is displayed on the LCD 28, and the cursor It can be changed to a desired parameter by operating the key 24d or the set button 24e. Note that examples of changing the desired parameter include changing the parameter of the ALC function from on to off, and changing the parameter of the compression ratio function from 64 kbps to 192 kbps. When the recording button 24c is pressed, recording is started using the set parameters as recording conditions.

  Next, processing for realizing the above-described auto scene selection function will be described with reference to the flowchart of the auto scene selection task shown in FIG. This task is executed by the CPU 22 based on each program stored in the flash memory 36.

  When the power is turned on and the auto scene select button 24g is pressed, the auto scene select task is activated. First, in step S101, the CPU 22 performs an imaging process for one frame. In the next step S103, the CPU 22 performs a face recognition process on the digital image signal obtained by the imaging process, and in the next step S105, executes a space recognition process. In the next step S107, pattern recognition processing is executed. In the next step S109, the CPU 22 determines a recommended recording scene with reference to the recognition table based on the results of the face recognition process, the space recognition process, and the pattern recognition process. In the next step S111, the recommended recording scene is determined. The parameter of the recording function corresponding to is set, and the screen of the recommended recording scene is displayed on the LCD 28.

  In the next step S113, it is determined whether or not the menu key 24a is operated within a predetermined time after the screen of the recommended recording scene is displayed, and the parameter key is changed by operating the cursor key 24d and the set button 24e. If YES is determined in the step S113, the process proceeds to a step S115 to change the parameters, and then the present task is terminated. Also, if NO is determined in step S113, this task is terminated.

  As described above, according to the IC recorder 10 according to the present embodiment, the user discriminates the recording scene recommended by the IC recorder 10 only by pressing the auto scene select button 24g, and the recording corresponding to the recording scene. Since the function parameters are set, recording can be performed more easily and under suitable recording conditions. In addition, since the recommended recording scene is determined from the captured image, the determination accuracy becomes higher.

  In the IC recorder 10 of this embodiment, a program for executing the auto scene select function is stored in the flash memory 36 in advance. However, the IC recorder 10 and an external device are connected to each other so that the user can perform wireless communication or You may acquire the program which an external apparatus hold | maintains via wired communication.

  In the present embodiment, the example in which the present invention is applied to the IC recorder 10 has been described. However, the present invention can also be applied to a digital camera, a PDA, a mobile phone, and a smartphone. When applied to a mobile phone and a smartphone, the user may download all or a part of the program for executing the auto scene selection function via the Internet or a telephone line.

  In addition, when the present invention is applied to a touch panel type smartphone, the role of each key and button of the operation unit 24 is to perform a tap operation in which the user taps the screen and immediately releases the finger, or a long press operation in which the finger touches the screen. Further, a flick operation for moving a finger so as to lightly touch the screen, a swipe operation for touching two or more fingers on the screen and moving the fingers away from each other or approaching each other may be performed.

  The digital image signal stored in the SDRAM 32 may be output to the LCD 28 under the control of the CPU 22. The LCD 28 includes an LCD driver (not shown). The LCD driver can convert Y, U, and V signals into RGB signals and cause the LCD 28 to display an image based on the digital image signal. Since power consumption increases when an image is displayed on the LCD 28, display may be performed only when the display mode is set by the user operating the menu key 24a, the cursor key 24d, and the set button 24e.

  In the embodiment, the LCD 28 is used as a monitor. However, a display device such as an organic EL may be used.

  Further, in the face recognition process, the pattern recognition process, and the space recognition process, the digital image signal for one frame is set as a recognition process target, but 10 frames may be set as a recognition target. In this case, improvement in recognition accuracy is expected.

  In this embodiment, six face size types obtained from the face recognition process are prepared. However, the face size and type are not limited to this. The greater the number of face size types, the better the accuracy of discriminating recommended recording scenes.

  In the present embodiment, the microphone unit 42 is provided with the non-directional microphones 42L and 42R, but a directional microphone may be further provided. In this case, on / off of the omnidirectional microphones 42L and 42R and the directional microphones may be added as parameters of the recording function set for each recording scene. For example, when the omnidirectional microphones 42L and 42R are set to off and the directional microphone is set to on as the parameters of the recording function set in the dictation scene, even more suitable recording can be performed.

DESCRIPTION OF SYMBOLS 10 ... IC recorder 16 ... Lens group 18 ... CMOS imager unit 20 ... Signal processing circuit 22 ... CPU
24 ・ ・ ・ Operation unit 28 ・ ・ ・ LCD
30 ... External memory card control circuit 32 ... SDRAM
34 ... External memory card 36 ... Flash memory 40 ... Codec 42 ... Microphone unit 46 ... DSP

Claims (9)

Imaging means for capturing an optical image of a subject and outputting it as an image signal;
Scene discrimination means for discriminating a scene based on the image signal;
Recording means for collecting and recording audio;
A recording apparatus comprising: setting means for setting a recording condition for recording based on the scene determined by the scene determining means. Recording control means for controlling the recording means to record under the recording conditions set by the setting means;
The recording apparatus according to claim 1, further comprising changing means for changing the recording condition set by the setting means.   The recording apparatus according to claim 1, further comprising notification means for notifying a recording condition set by the setting means.   4. The recording apparatus according to claim 1, wherein the scene discriminating unit discriminates a scene by detecting the number of objects and / or the degree of separation between objects from the image signal.   5. The recording apparatus according to claim 1, wherein the scene discrimination unit discriminates a scene by detecting the number of persons and / or the degree of separation between persons based on the image signal.   6. The recording apparatus according to claim 5, wherein the scene discriminating unit discriminates a scene by detecting the number of persons and / or the degree of separation between persons based on a face signal included in the image signal. The recording condition set based on the scene determined by the scene determining unit in the setting unit includes a condition for collecting sound using an omnidirectional microphone or a directional microphone. The recording apparatus according to claim 1.
A method of setting conditions for recording in a recording device that collects and records audio,
Capturing an optical image of a subject and outputting it as an image signal;
Determining a scene based on the image signal;
A method comprising the steps of setting recording conditions for recording based on the determined scene. In a processor of an electronic device including an imaging unit that captures an optical image of a subject and outputs it as an image signal, and a recording unit that collects and records sound,
Capturing an optical image of a subject and outputting it as an image signal;
Determining a scene based on the image signal;
A program for executing a step of setting recording conditions for recording based on a determined scene.